[🇧🇩] Artificial Intelligence-----It's challenges and Prospects in Bangladesh

[Saif]

Can AI help mitigate long-pending legal cases?

Bangladesh’s legal system is overwhelmed by a staggering backlog of cases, leaving many people waiting for justice for years, sometimes even decades.

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Can AI help mitigate long-pending legal cases?

Bangladesh's legal system is overwhelmed by a staggering backlog of cases, leaving many people waiting for justice for years, sometimes even decades. The legal process has become slow and frustrating with nearly 49 lakh cases pending and a severe shortage of judges, according to a newspaper report. Public trust in the judiciary has eroded, and finding solutions to this crisis has become critical. About 70 percent of the cases are backlogged at the witness hearing stage for at least three or more years, whereas 22 percent are backlogged at the investigation stage for one year and above, media reports say. One potential answer lies in using Artificial Intelligence (AI), which could offer much-needed efficiency and innovation to tackle these challenges.

SCALE OF THE PROBLEM

With only one judge for every 95 thousand citizens, Bangladesh's courts are stretched to the limit. As a result, cases drag on for years. This inefficiency is not just inconvenient, it is a denial of timely justice, which affects individuals, families and businesses alike.

HOW AI CAN HELP

Automating document creation and management: AI can help lawyers draft legal documents quickly and accurately. By generating first drafts of contracts or legal papers using templates, AI tools can save lawyers valuable time. Instead of being bogged down in repetitive tasks, legal professionals can focus on more complex issues, helping to move cases forward faster.

Enhancing legal research: Legal research is time-consuming, but AI can change that. AI-powered tools can skim through enormous amounts of data, case laws and statutes, providing quick access to relevant information.

Task management and scheduling: AI can take over the mundane yet critical task of managing lawyers' and judges' schedules. It can remind them of deadlines, upcoming court dates, and pending tasks.

Training junior lawyers: AI can act as a virtual mentor for junior lawyers, helping them learn faster. AI tools can simulate courtroom scenarios, provide real-time feedback on legal drafts and even conduct mock trials.

LOCAL SOLUTIONS FOR LOCAL PROBLEMS

Bangladesh has the potential to create AI solutions tailored to the specific needs of its legal system. Local tech companies are in a unique position to design tools that understand the context of Bangladeshi law. By investing in these technologies, Bangladesh can develop affordable solutions that will help clear the case backlog. Collaboration between the legal community, tech companies, and institutions like the Supreme Court and Bangladesh Bar Council is crucial for success.

Oleyn, a Bangladeshi-Singaporean tech company, is already developing AI-driven solutions through its product "superattorney.ai". Salman Sayeed, co-founder and CEO of Oleyn, said their innovative platform transforms legal services by scaling up operations at a low cost, addressing the high demand for legal assistance while keeping expenses low for clients and increasing revenue for lawyers.

VOICES FROM THE LEGAL INDUSTRY

Lawyer Raiyan Amin points out that "AI can help automate repetitive tasks such as case management, legal research and data entry," but adds that "AI should just assist and mustn't replace human judgment." Barrister Rafaelur Rahman Mehedi agrees, saying, "AI can help with drafting, legal databases and recording court statements, but trust and confidentiality are crucial in law, and we must be careful with AI's role in this."

CONCLUSION

AI has the potential to bring long-overdue changes to Bangladesh's legal system. By streamlining routine tasks, improving research and supporting lawyers, AI can help clear the backlog of cases and speed up justice. As local companies like Oleyn step up to provide innovative solutions, Bangladesh's legal landscape could soon see a much-needed transformation, ensuring that justice is delivered on time.

The author is the chief of staff of a leading startup and a former president of Junior Chamber International (JCI) Bangladesh​

 

[Saif]

Is AI modern Frankenstein?

A cognitive psychologist and computer scientist, the British-Canadian, Geoffrey E. Hinton who along with the American, John J. Hopfield, was awarded the Nobel Prize in Physics by the Royal Swedish Academy of Sciences on October 8 is himself fearful of the invention that brought him the honour. Upon

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Is AI modern Frankenstein?
SYED FATTAHUL ALIM
Published :
Oct 14, 2024 21:56
Updated :
Oct 14, 2024 21:56

A cognitive psychologist and computer scientist, the British-Canadian, Geoffrey E. Hinton who along with the American, John J. Hopfield, was awarded the Nobel Prize in Physics by the Royal Swedish Academy of Sciences on October 8 is himself fearful of the invention that brought him the honour. Upon leaving Google in May 2023 after working there for a decade, he admitted that he left the job to speak freely about the dangers of AI. To him, AI is outpacing human's ability to control it. Consider the frustration of the AI buffs, not less Google, who held him in high regard for his pioneering work on deep learning!The reason the Nobel Committee considered them for the Prize (in Physics) is their use of statistical physics concepts in the development of artificial intelligence. John J. Hopfield, a physicist- turned-chemist-turned-biologist at the California Institute of Technology (Caltech) in 1982 proposed a simple (neural) network on how memories are stored in the brain. He later returned to Princeton as a molecular biologist.That means, neither scientist was a practising physicist when they got the Nobel Prize in Physics. Interestingly, though these two Nobel laureates in Physics got the prize for their seminal works in the advancement of AI, yet both of them expressed concerns about further development of the field they dedicated their career for. However, unlike Geoffrey Hinton, John Hopfield was less dramatic, though no less apprehensive, about expressing his fears about neural network he worked for that mimics the function of the human brain. Maybe, AI does it better than human brain and, what is alarming, even faster! He also warned of potential catastrophes if the advancements in AI research are not properly managed. So, he emphasised the need for deeper understanding of the deep learning systems so the technological development in the field may not go out of control.

The concerns raised by these two lead researchers in AI's advancement, call to mind the Asilomar conference (organised at the Asilomar State Beach in California, USA) of biotechnologists on recombinant DNA molecules in 1975. They discussed potential hazards and the need for regulation of biotechnology. Some 140 biologists, lawyers and physicists participated in the conference and they drew up a set of voluntary guidelines to ensure safety of the recombinant DNA technology, which is about genetic engineering technique that involves combining DNA from different species or creating new genes to alter an organism's genetic makeup.

Geoffrey Hinton in his interview with the website of Nobel Prize stressed thatAI is indeed an existential threat but we still do not know how to tackle it. There are some existential threats like climate change. But not only scientists, the general public also knows that by not burning fossil fuels and cutting down trees, the danger can be averted. That means, humanity knows the answer to the threat posed by the climate change, but it is the greedy businesses and politicians lacking the will who are coming in the way of addressing the threat.

To avert the threat to humanity originating from unregulated AI, mobilising resources by tech companies to conduct research on safety measures is necessary.

Hinton thinks that the linguistics school of Noam Chomsky, for instance, is quite dismissive about AI's capacity for understanding things the way humans do. They (neural networks of AI) cannot process language like humans, the Chomsky School holds.

But Geoffrey Hinton thinks this notion is wrong, since, in his view, neural nets do the job (of processing language) better than what the Chomsky School of Linguistics might imagine.

The harm AI can do is already before all to see. These include AI-generated photos, videos and texts that are flooding the internet. The problem is it is hard to tell the real contents from the fake ones. It can replace jobs, build lethal autonomous weapons by themselves and so on. Here lies the existential threat.​

 

[Saif]

Exploiting the potential of AI integration into Bangladesh university curriculums

AI has become the number one cause of change in industries all over the world, be it in health, manufacturing, agriculture, or even financial services. Its transformative potential is huge, especially in education, as it empowers personalised learning, data-based insights, and the acquisition of cr

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Exploiting the potential of AI integration into Bangladesh university curriculums
Serajul I Bhuiyan
Published :
Nov 11, 2024 22:04
Updated :
Nov 11, 2024 22:04

AI has become the number one cause of change in industries all over the world, be it in health, manufacturing, agriculture, or even financial services. Its transformative potential is huge, especially in education, as it empowers personalised learning, data-based insights, and the acquisition of critical skills demanded by the modern workforce. This inclusion of AI-based courses in university curricula is not only innovative but also highly essential for Bangladesh. Moving with the tide of time, Bangladeshi universities, especially private-sector ones, should seize the opportunity and get their students prepared with the competencies they will need in the AI-centric future.

RISE OF THE DEMAND FOR AI SKILLS: A 2023 report by the World Economic Forum emphasised the acute need for digital literacy, machine learning, data analytics, and other skills related to AI as integral to future employability. In Bangladesh, at least, this means industries such as textiles, telecommunication, banking, and logistics have already established their firm plans for integrating AI tools into their work. Bangladeshi universities have started integrating practical learning in AI, such as coding, predictive analytics, and automation tools. With the inclusion of AI across the curriculum, universities can ensure that students develop theoretical knowledge with a mix of practical skills in multidisciplinary areas that render job-ready adaptability in a fast-changing job market.

GOVERNMENT-INDUSTRY SYMBIOSIS: The post-Sheikh Hasina interim government now envisages Smart Bangladesh as a fundamental promise to establish a digitally competitive economy. This is an ambitious plan that epitomises the realisation that integrating artificial intelligence skills into the workforce is no longer an option but a critical driver for future economic growth and innovation. Correspondingly, the Bangladeshi government has also emphasised the development of relevant skills on AI and encouraged active partnerships between industries and academia in keeping with international trends.

This collaboration between the academia and the industry provides students with excellent opportunities to apply AI in practice, through internships, hands-on projects, and so on. The partnerships introduce students to the latest AI technologies firsthand, enabling them to explore various applications in fields such as telecommunications and finance, among others. Drawing inspiration from successful models in India and Singapore—where the integration of AI ranges from research to governance to skill-building—Bangladesh is well-placed to understand how to nurture the AI economy.

CHALLENGES OF INTEGRATING AI IN BANGLADESHI EDUCATION: While promising, the road to AI-integrated education in Bangladesh is beset with daunting challenges.

Infrastructure and skilled faculty shortages: Most universities in Bangladesh, especially the public ones, lack high-performance computing infrastructure, data labs, and software tools which are essential for effective AI education. Furthermore, a severe shortage of AI-trained faculty is also an added concern. To that effect, investment in faculty development, collaboration with globally top institutions, and integration in a knowledge-sharing platform is crucial.

Implementation Cost: There is a huge cost involved in setting up courses on AI, which includes building laboratory facilities as well as buying software licences and training the faculty on a continuous basis. It is expected that universities can have this challenge through public-private partnerships, international funding, and grants so that all institutions could have the required resources for the inclusion of AI in their programmes.

STRATEGIC RECOMMENDATIONS FOR FUTURE-READY AI EDUCATION SYSTEM: The collaboration of universities, industries, and government in tandem holds the key to realising the full potential of AI in education. Here are some strategic recommendations that can help create a more enabling AI integration in Bangladeshi Universities:

AI centers of excellence: Setting up AI-focused research, industry partnerships, and skill development can help build an innovation-oriented culture. For instance, such projects at United International University can set examples by involving students and faculty in policymaking related to advanced AI projects.

Encourage multidisciplinary AI learning: The study of AI should be open to students from all disciplinary backgrounds, including but not limited to business, healthcare, and engineering, so that inter-disciplinarity in AI innovation is facilitated. This will ensure that students of all different fields have a preliminary understanding of where AI is taking their industry.

Leveraging AI-enhanced learning tools Intelligent learning platforms can enable customized learning through knowledge gap identification and adaptivity within learning content. These kinds of adaptive learning tools create an inclusive and effective learning environment, catering to the diverse learning styles and pace of the students.

Offering online and blended learning: Courses and certifications in AI online would increase access to students from all corners of the country, including those living in the most remote areas. This will enable Bangladeshi universities to provide top-class AI content irrespective of geographical barriers.

Organising AI hackathon and competition: Let the hackathons and competitions be the motivator for the students in designing solutions with AI applications aimed at solving real-world problems. This will enable ease of collaboration, creative problem-solving, and entrepreneurial mindset development.

Encouraging international collaboration: An internationally aligned AI curriculum, and collaboration with other institutions abroad, would continue to keep Bangladeshi universities competitive and current with global standards regarding AI education.

AI Education should be included at all levels: Initiative building concepts of AI should be prioritised at the primary and secondary levels to nurture AI literacy from a young age. This long-term approach will help cultivate a generation of tech-savvy individuals prepared to drive Bangladesh’s digital future.

BREAKING ACADEMIC SILOS— UNIVERSITIES AS PIONEERS IN AI INTEGRATION: Bangladeshi universities like North South University, BRAC University, Independent University, Bangladesh, American International University Bangladesh, the Institute of Business Administration at Dhaka University, East-West University, University of Liberal Arts Bangladesh, Daffodil International University, and United International University can be uniquely leading the AI revolution in the country. These institutions have both the resources and academic influence to enable a national movement for AI literacy and skill development. However, one widely held misconception stands in the way of such an outcome: far too many university leaders consider AI a tool relevant only to technical disciplines, and principally within computer science and engineering programmes. This is a very narrow perception, considering that AI’s potential benefits actually span widely, from economics and business to the social sciences. For instance, students of economics might use AI to create predictive market analytics, while students of social sciences might use data to understand behaviors pertinent to a community project. University leaders need to understand that AI is fundamentally multidisciplinary and that its applications go far beyond technical fields: AI tools are transforming the social sciences, the liberal arts, business, health care, and many other areas. For that reason, all academic leaders need to understand how AI applies to each discipline. In this way, universities can hope not only to raise the academic bar but also to prepare the students with the right skills to address prevailing challenges in the real world. Therein lies the opportunity for university leaders to get acquainted with the range of applications that AI serves so that they may strategically consider using it to create curricula positions that will place their institutions on the front row in academic excellence and prepare their students for meaningful contributions to the future of Bangladesh.

With a firm commitment to partnership, cross-disciplinary learning, and strategic investments, universities in Bangladesh could build the bedrock for a resilient and adaptable AI workforce. Standing in line with the likes of Satya Nadella’s vision, where he underlines the harmonious coexistence of humans and technology, Bangladesh has every reason to claim itself as a digital leader in the South Asian region. The journey toward AI literacy—one of transformation—charts the route towards a smart, sustainable future in which citizens of this nation are prepared to leverage the world for opportunities.

Dr. Serajul I. Bhuiyan is professor and former chair of the Department of Journalism and Mass Communications and Georgia Governor’s AI Teaching Fellow, Savannah State University, Savannah, Georgia, USA.​

 

[Saif]

AI beyond engineering

In Bangladesh and much of South Asia, artificial intelligence (AI) is still commonly perceived as the domain of technical fields like computer science and engineering. However, this view limits the true potential of AI, which has become a transformative force across numerous disciplines, from medic

thefinancialexpress.com.bd

AI beyond engineering
Serajul I Bhuiyan
Published :
Nov 14, 2024 21:08
Updated :
Nov 14, 2024 21:08

In Bangladesh and much of South Asia, artificial intelligence (AI) is still commonly perceived as the domain of technical fields like computer science and engineering. However, this view limits the true potential of AI, which has become a transformative force across numerous disciplines, from medicine and business to environmental science, social sciences, and the arts. Recognising AI's broad, interdisciplinary applications, visionary universities worldwide are embedding AI into a diverse array of academic fields. This integration equips students not only with foundational AI knowledge but also with practical experience, preparing them to succeed in an evolving, technology-driven world.

This article highlights AI's applications beyond technical fields, showing how cross-disciplinary AI education prepares students for innovation, complex problem-solving, and adapting to a global workforce. By embracing AI across the curriculum, educational institutions can foster a new generation of professionals ready to lead in an AI-powered future.

AI IN BUSINESS AND MANAGEMENT: In today's globalised economy, AI is reshaping business by enabling data-driven decision-making, improving efficiency, and keeping companies competitive. Recognising AI's pivotal role, leading business schools worldwide are incorporating AI applications-ranging from predictive analytics and consumer behaviour modelling to financial forecasting and process automation-into their curricula. This equips students with essential skills to apply AI in marketing, finance, HR, and logistics, preparing them to thrive in technology-driven business environments. By blending theory with practical AI applications, these programs develop business professionals who can leverage AI for strategic advantage.

Business schools across the US, Europe, Asia, and Australia lead the way in AI education. Harvard Business School uses AI-driven analytics for marketing and strategic decisions, allowing students to analyse consumer behaviour and optimize pricing using real-world case studies. INSEAD, with campuses in France and Singapore, emphasizes AI's role in market analysis, consumer segmentation, and supply chain efficiency, tailoring AI applications to diverse business settings across Europe and Asia. Similarly, the National University of Singapore integrates AI for finance and customer management, preparing graduates for roles in the expanding FinTech sector. Other institutions, like London Business School and the University of Melbourne, offer courses on AI in digital transformation and personalised customer experiences, providing hands-on experience through industry collaborations.

The integration of AI in business education extends to areas like customer relationship management (CRM), supply chain logistics, financial forecasting, and HR. AI-enabled CRM tools let students design personalized customer experiences, essential in e-commerce and retail. AI-driven logistics models help students optimize supply chains, while in finance, students learn predictive modelling and risk analysis. HR applications allow students to use AI to predict workforce trends and enhance talent management. Mastering these applications, graduates from AI-empowered business programs gain a competitive edge, ready to lead AI initiatives aligned with strategic business goals.

AI IN HEALTHCARE AND LIFE SCIENCES: AI applications in healthcare are transformative, enhancing diagnostics, treatment planning, and patient care. Medical programs at institutions like Stanford University and Imperial College London integrate AI, training students in areas like image analysis in radiology, genomic sequencing, and predictive healthcare modelling. AI-based diagnostic tools, for instance, can detect diseases like cancer with remarkable precision. Students trained on such tools develop expertise in AI-driven healthcare, equipping them to improve patient outcomes in efficient, technology-enhanced healthcare systems. This hands-on approach prepares future professionals for tackling complex medical challenges, contributing to global health improvements.

AI IN ENVIRONMENTAL SCIENCE AND SUSTAINABILITY: Environmental science programs are increasingly using AI to address challenges such as climate change, resource management, and conservation. Institutions like ETH Zurich and Australia's University of Queensland incorporate AI into environmental studies, where students learn to monitor ecosystems, forecast weather patterns, and create renewable energy solutions. For example, students may use AI models to analyse satellite images for tracking deforestation, helping governments and NGOs respond to environmental degradation in real-time. This training enables graduates to apply data-driven insights toward sustainable environmental solutions, making meaningful contributions to global issues.

AI IN ENGINEERING AND MANUFACTURING: In fields like manufacturing, civil infrastructure, and robotics, AI is driving innovation and efficiency. Institutions such as MIT and the Technical University of Munich incorporate AI into their engineering programs, allowing students to simulate processes, optimize structures, and develop automated systems. In manufacturing, AI applications include predictive maintenance and logistics optimization, enhancing production efficiency and quality control. Robotics students, for example, design AI-powered robots for complex tasks like assembly or hazardous material handling. These real-world AI applications provide students with the practical skills needed to lead advancements in automation and smart manufacturing.

AI IN SOCIAL SCIENCES AND HUMANITIES: AI is also making an impact in social sciences and humanities, fields that were traditionally data-limited but are now rich with insights through AI analytics. Universities like Oxford and the University of Toronto use AI tools in sociology, psychology, and political science to study social patterns, behavioural trends, and policy impacts. Political science students can use predictive analytics to model election outcomes or assess public opinion shifts, while psychology students may apply AI-driven sentiment analysis to evaluate mental health trends on social media, identifying community needs. This interdisciplinary approach allows students to ground theoretical knowledge in empirical data, fostering a nuanced understanding of societal issues and enabling evidence-based solutions.

AI IN LAW AND PUBLIC POLICY: AI is also transforming law and public policy, fields that were traditionally considered resistant to technology. Institutions like the National University of Singapore and Stanford Law School now offer courses on AI applications in legal research, contract analysis, and case prediction. Students learn how AI can automate document reviews, identify precedents, and predict case outcomes based on past rulings. In public policy, AI enables the analysis of healthcare access, crime rates, and education quality, providing empirical evidence for data-driven policy decisions. This integration equips future professionals to address the ethical and regulatory challenges of AI, preparing them to create informed legislation that balances innovation with responsible AI use.

By embracing AI across disciplines, universities worldwide are preparing a generation of graduates ready to lead in an AI-powered world.

AI IN ARTS AND DESIGN: AI introduces an exciting new dimension to arts and design, opening frontiers for creativity and innovation. Programs at institutions like the Royal College of Art in the UK and Parsons School of Design in the US are incorporating AI into courses that explore generative design, digital art, and music composition. Through AI, students create immersive virtual reality experiences, develop algorithmic art, and even compose music using machine learning models. In media arts, AI enhances special effects, personalizes viewer experiences, and optimizes content recommendations. By merging AI with creative disciplines, universities empower students to push the boundaries of traditional art forms, creating a unique blend of technology and artistic expression that redefines the possibilities in arts.

AI IN JOURNALISM AND MASS COMMUNICATIONS: AI is redefining journalism and mass communications, reshaping how news is gathered, produced, and delivered in an age of rapid digital transformation. Top media organisations and journalism schools globally are adopting AI-powered tools to create a more agile, responsive, and insightful media landscape. AI tools analyze vast datasets, automate content generation, personalize news delivery, and detect misinformation, enabling journalists to produce content more quickly, accurately, and with greater impact. From automating routine news to enhancing fact-checking, AI allows newsrooms to cover stories efficiently, freeing journalists to delve into complex investigative work. Journalism students, in turn, learn to use AI technologies to meet emerging challenges and capitalise on AI-driven opportunities in media

In practice, AI advances news automation, personalised content, investigative data analysis, and multimedia storytelling. Organisations like The Associated Press and Reuters employ AI algorithms to automate routine reports on financials, sports, and weather, allowing journalists to focus on in-depth stories. AI personalises content to readers' preferences, as seen with The New York Times and BBC, which recommend articles based on reader interests, enhancing engagement. AI-powered visual tools also streamline video editing, create immersive AR and VR content, and enable social listening on platforms like Crimson Hexagon, tracking public sentiment on key issues. Predictive analytics helps outlets like The Guardian forecast trends, while translation tools like Google Translate broaden reach globally. Journalism programs now integrate training in these applications, preparing students for a field where tech-savvy complements traditional reporting skills. As students consider the ethical aspects of AI-addressing privacy, bias, and responsible use-they are positioned to lead with integrity in a fast-evolving digital world.

TRANSFORMATIVE IMPACT: By embedding AI across disciplines, universities create a space where students experience AI's transformative potential in varied contexts. This cross-functional approach produces graduates who are not only experts in their fields but also proficient in AI, ready to work in interdisciplinary teams and adapt to fast-changing, tech-driven environments. Real-world projects, internships, and AI-driven lab work help students to bridge academic knowledge with industry practice, equipping them to contribute meaningfully from day one in the workforce. This blend of theory and practice prepares students to drive change and innovation across industries.

BUILDING A RESILIENT WORKFORCE FOR AN AI-DRIVEN WORLD: In a global economy that values digital proficiency and technological expertise, universities that embrace AI across disciplines position their graduates for lasting success. Integrating AI into diverse fields ensures that students gain foundational knowledge while also learning to apply AI in industry-relevant ways. This mix of theory and hands-on experience fosters agile, innovative graduates equipped to navigate the complexities of an AI-powered future. As AI advances, this approach cultivates a resilient workforce capable of adapting and harnessing AI responsibly to address real-world challenges and contribute to societal progress.

Dr Serajul I Bhuiyan is a professor and former chair of the Department of Journalism and Mass Communications at Savannah State University, Savannah, Georgia. USA; and a Georgia Governor's AI Teaching Fellow at Louise

McBee Institute of Higher Education, University of Georgia, Athens, USA.​

 

[Saif]

Is AI’s meteoric rise beginning to slow?

A quietly growing belief in Silicon Valley could have immense implications: the breakthroughs from large AI models -– the ones expected to bring human-level artificial intelligence in the near future –- may be slowing down.

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Is AI’s meteoric rise beginning to slow?

OpenAI CEO Sam Altman (L) shakes hands with Microsoft Chief Technology Officer and Executive VP of Artificial Intelligence Kevin Scott during an event in Seattle. OpenAI recently raised $6.6 billion to fund further advances. Photo: AFP

A quietly growing belief in Silicon Valley could have immense implications: the breakthroughs from large AI models -– the ones expected to bring human-level artificial intelligence in the near future –- may be slowing down.

Since the frenzied launch of ChatGPT two years ago, AI believers have maintained that improvements in generative AI would accelerate exponentially as tech giants kept adding fuel to the fire in the form of data for training and computing muscle.

The reasoning was that delivering on the technology's promise was simply a matter of resources –- pour in enough computing power and data, and artificial general intelligence (AGI) would emerge, capable of matching or exceeding human-level performance.

Progress was advancing at such a rapid pace that leading industry figures, including Elon Musk, called for a moratorium on AI research.

Despite the massive investments in AI, performance improvements are showing signs of plateauing.

Yet the major tech companies, including Musk's own, pressed forward, spending tens of billions of dollars to avoid falling behind.

OpenAI, ChatGPT's Microsoft-backed creator, recently raised $6.6 billion to fund further advances.

xAI, Musk's AI company, is in the process of raising $6 billion, according to CNBC, to buy 100,000 Nvidia chips, the cutting-edge electronic components that power the big models.

However, there appears to be problems on the road to AGI.

Industry insiders are beginning to acknowledge that large language models (LLMs) aren't scaling endlessly higher at breakneck speed when pumped with more power and data.

Despite the massive investments, performance improvements are showing signs of plateauing.

"Sky-high valuations of companies like OpenAI and Microsoft are largely based on the notion that LLMs will, with continued scaling, become artificial general intelligence," said AI expert and frequent critic Gary Marcus. "As I have always warned, that's just a fantasy."

One fundamental challenge is the finite amount of language-based data available for AI training.

According to Scott Stevenson, CEO of AI legal tasks firm Spellbook, who works with OpenAI and other providers, relying on language data alone for scaling is destined to hit a wall.

"Some of the labs out there were way too focused on just feeding in more language, thinking it's just going to keep getting smarter," Stevenson explained.

Sasha Luccioni, researcher and AI lead at startup Hugging Face, argues a stall in progress was predictable given companies' focus on size rather than purpose in model development.

"The pursuit of AGI has always been unrealistic, and the 'bigger is better' approach to AI was bound to hit a limit eventually -- and I think this is what we're seeing here," she told AFP.

The AI industry contests these interpretations, maintaining that progress toward human-level AI is unpredictable.

"There is no wall," OpenAI CEO Sam Altman posted Thursday on X, without elaboration.

Anthropic's CEO Dario Amodei, whose company develops the Claude chatbot in partnership with Amazon, remains bullish: "If you just eyeball the rate at which these capabilities are increasing, it does make you think that we'll get there by 2026 or 2027."

Nevertheless, OpenAI has delayed the release of the awaited successor to GPT-4, the model that powers ChatGPT, because its increase in capability is below expectations, according to sources quoted by The Information.

Now, the company is focusing on using its existing capabilities more efficiently.

This shift in strategy is reflected in their recent o1 model, designed to provide more accurate answers through improved reasoning rather than increased training data.

Stevenson said an OpenAI shift to teaching its model to "spend more time thinking rather than responding" has led to "radical improvements".

He likened the AI advent to the discovery of fire. Rather than tossing on more fuel in the form of data and computer power, it is time to harness the breakthrough for specific tasks.

Stanford University professor Walter De Brouwer likens advanced LLMs to students transitioning from high school to university: "The AI baby was a chatbot which did a lot of improv'" and was prone to mistakes, he noted.

"The homo sapiens approach of thinking before leaping is coming," he added.​

 

[Saif]

Address the misuse of social media and AI

AI and social media fuelling mis- and disinformation is threatening unity in Bangladesh.

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Address the misuse of social media and AI
We must not let lies on cyberspace disrupt peace and unity

VISUAL: STAR

The United Nations chief's recent comment about social media and artificial intelligence (AI) amplifying hate speech and spreading disinformation rings true in Bangladesh's present context. Only five months ago, social media networks were used to unite people in bringing down Sheikh Hasina's fascist regime. Unfortunately, the same tool, enhanced with AI-generated content, is now being used to create divisions in society.

After the ouster of Sheikh Hasina's fascist regime, many perceive—60 percent, according to a recent survey by Voice of America—that freedom of speech and expression has improved in Bangladesh. Yet, as the lines between expressing an opinion and stating a fact become blurry and murky on social media platforms, people and organisations are being harassed or threatened with mob justice. More concerningly, thanks to social media, the propagation of misinformation and disinformation—as well as taking content out of context and presenting it with ill intention—is quickly spreading across national borders.

It has reached a new level, especially after the fall of Sheikh Hasina. For instance, our neighbouring country's media—given the political ideology they serve—are resorting to social media misinformation to such an extent that their actions are causing a rift in Bangladesh-India relations. More worryingly, it is instilling hatred among many people, threatening social cohesion and unity. Sadly, reiteration of falsehoods, sometimes with the help of AI-generated content on social media, often succeeds in gaining people's trust. In fact, a 2018 study by MIT's Media Lab found that "falsehood diffuses significantly farther, faster, deeper, and more broadly than the truth." Moreover, it is humans who reshare false information more than bots that are made for that purpose.

To counter the spread of misinformation and disinformation on social media, the government must develop ways to address the deepfakes of the cyber world. Countering false narratives and controlling the propagation of disinformation by forces outside the nation may require well-thought-out strategies. The country's media, as well as internationally reputed outlets, can play a role in this fight. At the same time, the government must ensure that press freedom in the country is not threatened. Additionally, the government's messaging in this context should be uniform, and its actions must reflect its words.

Additionally, the authorities should focus on improving social media literacy. Enhancing online intelligence capabilities should also be considered. However, any steps, including creating new policies to control and prevent cybercrimes using information as a weapon, should not come at the cost of people's right to privacy and free speech.​

 

[Saif]

How to use AI efficiently and ethically for studying

Here are some efficient tips for using AI which will not compromise your learning.

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How to use AI efficiently and ethically for studying

Photo: Orchid Chakma

The subject of using artificial intelligence (AI) for studying is a controversial one, to say the least, even though this practice has been going on for quite some time now. The unease surrounding AI usage in one's studies is understandable. However, students often blur the lines between academic integrity and genuine learning when it comes to using AI. Whether it's due to time constraints, multiple assignments piling up, or just procrastination, AI often becomes a 'quick-fix' tool of sorts rather than a tool to help one learn better or faster.

Even so, as much as some teachers would sternly advise us to steer clear of AI when it comes to academic obligations, it cannot be denied that AI can serve as a crucial tool when it comes to learning. Hence, to find a proper balance, here are some efficient tips for using AI which will not compromise your learning.

Personalised learning

Everyone's learning curve is different. While some are content with textual content, others thrive with visuals. With rapid advancements in AI, more and more tools are being unveiled to support and sustain your learning. As a result, no matter what your learning style is, finding the right method will ensure that you are thoroughly understanding the concepts and actually learning instead of using AI as a crutch to get a passing grade.

Summarising content

For writing-heavy tasks requiring you to go through textbooks and documents, AI can come in handy with summaries, especially if it's in a chapter-wise format. That way, you can decipher which bits are relevant to your learning and go back and peruse those sections from your reading materials. This way, you can optimise your time while also getting the actual reading done.

Making study planners

If you are overwhelmed with overlapping academic tasks and have no clue where to begin, asking AI for study planners can be extremely fruitful. Not only will you be provided with detailed timely breakdowns for each task, coupled with well-needed breaks, but also tips on how to stay on track and what to prioritise. This step prevents you from succumbing to the pressure and helps you stay focused.

Asking for feedback

Before AI, whenever you got stuck at a coding problem or weren't exactly pleased with the style of your essay, your only option was to wait around for a teacher to get back with their assistance or feedback. However, with AI's constant availability, you can get instantaneous solutions, whether it's finally understanding how to restructure your writing or knowing what went wrong in your balance sheet. Thus, you can very easily learn where your weaknesses and strengths lie.

Using AI-powered flashcards

Through this method, complex concepts are broken down into simpler fragments to aid your comprehension. As you progress, the difficulty of the flashcards is adjusted. You can also instruct the AI to make flashcards in the form of quizzes or games to better aid your learning. Writing down the content from the flashcards can also serve as a note-taking strategy, enabling you to remember the content better.

It is evident that AI will only evolve with time, and there is no way to ignore its impact. However, as students, we must understand that consistently relying on AI to speed through homework and assignments without truly engaging in the learning process ultimately does more harm than good. Such dependence will only dwindle our creativity, problem-solving skills, and genuine curiosity. Hence, a middle ground is necessary, to ensure that AI only serves as a supplement and not a replacement to actual learning.

Anica Bushra Rahmaan is a student of Economics at BRAC University.​

 

[Saif]

AI comes down from cloud as chips get smarter

Artificial intelligence is moving from data centres to ‘the edge’ as computer makers build the technology into laptops, robots, cars and more devices closer to home.

www.newagebd.net

AI comes down from cloud as chips get smarter
Agence France-Presse . Las Vegas 10 January, 2025, 22:55

Attendees walk past a row of Chinese businesses in Eureka Park at Consumer Electronics Show in Las Vegas on Wednesday. | AFP photo

Artificial intelligence is moving from data centres to ‘the edge’ as computer makers build the technology into laptops, robots, cars and more devices closer to home.

The Consumer Electronics Show (CES) gadget extravaganza closing Friday was rife with PCs and other devices touting AI chips, making them more capable than ever and untethering them from the cloud.

Attention-grabbing stars included ‘AI PCs,’ personal computers boasting chips that promised a level of performance once limited to muscular data centres.

‘Whatever was running in the cloud last year is running on the edge this year,’ Kamesh Medapalli, senior vice-president of innovation and technology at Infineon Technologies, told AFP.

‘The pattern is already there and will only accelerate; the opportunity is huge on the edge.’

Nvidia chief executive Jensen Huang got a celebrity reception at CES, where he announced a ramped-up line of graphics processing units (GPUs) that imbue PCs with AI capabilities.

Huang told a packed arena that nearly all computer makers are working with Nvidia to get ready ‘so AI PCs are coming to a home near you.’

Huang unveiled ‘Project DIGITS,’ described as a personal AI supercomputer.

It features a new Nvidia ‘superchip’ for prototyping, fine-tuning and running large AI models on desktop computing systems, according to the chip maker.

‘AI will be mainstream in every application for every industry,’ Huang said.

‘Placing an AI supercomputer on the desks of every data scientist, AI researcher and student empowers them to engage and shape the age of AI.’

Project DIGITS signals that Nvidia’s strategy for AI data centres is extending to consumers who want the technology on their own machines, according to University of Pennsylvania computer science professor Benjamin Lee.

Infineon’s Medapalli said a shift to the edge means that functions like engaging with generative AI chatbots that once involved sending requests to be processed in data centres could be handled on a PC or smartphone.

‘You don’t have to have any internet connection; you don’t have to talk to anybody in the cloud,’ Medapalli said.

‘All your data is private and local — that is what I mean by edge AI, and that is rapidly coming.’

The AI edge could be anywhere processors can be embedded, including robots, cameras and cars.

‘That’s why the opportunity is huge in edge AI,’ Medapalli said.

Market tracker Canalys has projected that AI-capable PCs will account for some 40 per cent of overall PC shipments this year, with that number more than doubling by 2028.

‘The wider availability of AI-accelerating silicon in personal computing will be transformative,’ Canalys principal analyst Ishan Dutt said in a post.

‘PCs with dedicated on-device AI capabilities will enable new and improved user experiences, driving productivity gains and personalising devices at scale while offering better power efficiency, stronger security and reduced costs associated with running AI workloads.’

CES goers flocked to a Gigabyte Technology booth at CES to check out PCs enhanced with Nvidia high-performance processors.

‘We’ve had a lot of interest in the graphics card as well as the gaming laptop, because they are the

top from Nvidia right now,’ Mia Qu of Gigabyte told AFP.

‘Especially for gamers or people who plan to us it for large storage or high performance on a daily basis, they’re eyeing these specific products.’

Techsponential analyst Avi Greengart said chip and laptop vendors at CES are seeing AI capabilities resonate with people who want to speed up workflow, extend battery life and enhance video calls.

‘We are actually seeing AI making a difference in real things people actually do,’ Greengart said.​

 

[Krishna with Flute]

AI is a double edged sword. Strict regulations are required to deal with possible nuisance coming along with the development of AI. There is going to be a big competition between big countries to take a lead in AI. Bangladesh should ensure that they are not left behind to far from where it becomes impossible to ketchup They should start investing in AI right from this point of time

 

[Saif]

Navigating the AI revolution: Opportunities and challenges in Bangladesh

What remains to be seen is whether or not we can make full use of its potential.

www.thedailystar.net

Navigating the AI revolution: Opportunities and challenges in Bangladesh

Illustration: Salman Sakib Shahryar

The age of artificial intelligence (AI) is upon us, and it has brought huge changes in the 21st century, transforming not only industries and economies but also everyday life. Naturally, Bangladesh is also joining this AI wave, with organisations here gradually using AI to improve services and boost economic growth.

However, as businesses and organisations across the country start embracing this technology, what remains to be seen is whether or not we can make full use of its potential, and what roadblocks we might have to deal with along the way.

Mashrur Ahmed, a business development executive at Unilever Bangladesh Limited, highlighted how AI is transforming the company.

"AI helps us grow faster and work more efficiently," he said, citing partnerships with Microsoft and Accenture to develop tools like 'Una', an AI co-pilot that helps with quick decision-making. The AI is capable of answering questions by fetching data from the company's database.

AI also supports employee development at Unilever through 'Degreed', a customised learning platform like Coursera that hosts an array of courses developed in-house. By utilising AI, Degreed recommends courses tailored to individual roles and career paths. Additionally, Unilever's AI-powered social network, 'Viva Engage', makes cross-departmental communication smoother and more engaging.

Artificial intelligence is also making significant strides in the financial sector. Akhyar Noor, CEO and Founder of Buckyy Payment Solutions Limited (BPSL), a research-based fintech solution company headquartered in Bangladesh, highlighted a concerning statistic. As of March 2024, the total disbursed loans reached BDT 16,40,855 crore, with BDT 1,82,295 crore classified as defaulted – the highest in the history of Bangladesh. This equates to an alarming 11.10 percent of disbursed loans being in default.

One of the main reasons behind this significant number of defaulted loans is that debt was granted to several individuals with no means to repay. Akhyar said, "At Buckyy, we have developed a credit scoring engine – Rini AI – using machine learning techniques, trained using the historical financial data of our partner banks. Rini AI can assess the creditworthiness of borrowers more accurately and efficiently compared to manual evaluations. Based on the evaluations, Rini AI sets a credit limit for each borrower that they can comfortably repay with their streams of income."

Regardless of the efficiency AI can offer, workplaces across the globe are still struggling, to some extent, to integrate AI into their regular operations. S K Md Anik Hassan Rabby, a lecturer at the Department of Management Studies, Bangladesh University of Professionals (BUP), said, "Today's workplace is more diverse than ever before. Gen Z has already entered the workforce, meaning there are currently different generations coexisting in workplaces."

Anik further explained, "Many older adults lack the necessary digital skills and confidence to use technology effectively. For instance, a survey of 17 European countries revealed that 52 percent of individuals aged 65 and older do not use the internet. The scenario in Bangladesh is even more concerning. Under such circumstances, the mass implementation of AI could create a digital divide among generations and fuel age-based discrimination in workplaces. Sadly, a digital skills gap is evident even among the youth, with 84 percent of young people in Bangladesh lacking the basic digital skills required to use AI effectively."

Anik, therefore, suggests integrating AI gradually into operations and educational curricula, rather than hastily automating everything, to ensure its effective and efficient use.

Another reason behind the resistance to AI adoption is that many people fear that the rapid integration of AI in the workplace will lead to a widespread job crisis. This concern emerged due to existing machine learning systems' improved ability to emulate human labour across many industries.

However, The World Economic Forum predicts that while Fourth Industrial Revolution technologies driven by AI will significantly alter the world and hence, our work and lifestyles, mass unemployment may not be the inevitable outcome. Regardless, AI is already contributing to a job crisis for creative professionals in Bangladesh.

For SEO writers and graphic designers, AI tools are increasingly taking over tasks like content creation and design. This change not only threatens their jobs but also reduces the demand for creative professionals in the job market.

Musharrat Abir, an SEO writer at 10 Minute School, shared, "I started my content writing journey back in 2017, right when Bangladesh saw a boom in online news portals and Facebook e-commerce sites. There was a huge demand for content writers back then, with more vacancies than generic writers, which made it easier to get started. Fast forward to 2024, and with the widespread use of AI, many small businesses now rely on tools like ChatGPT to handle their content needs."

This shift, Musharrat explained, has made it harder for newcomers in the content writing sector to establish themselves as reputable organisations tend to favour candidates with experience and diverse portfolios. New entrants are hired less frequently. This, in turn, makes it difficult for them to build the profiles that recruiters seek in the first place.

Musharrat further noted that demand for SEO writers is declining overall, as people are increasingly turning to AI tools for more customised answers instead of reading entire articles. As a result, the reach of blogs is decreasing and the popularity of content writing as a profitable side hustle is gradually fading.

Mujahidul Islam, a freelance graphic designer, shares his thoughts regarding the use of AI in creative fields, "The threat of AI tools is not new in the visual design field. During the early days of my career, it was much easier to rank gigs on Fiverr – an online marketplace for freelance services. Clients would hire graphic designers to remove backgrounds from pictures for USD 5 or USD 10. However, in 2019, an AI tool called remove.bg took the graphic design industry by storm, allowing people to remove backgrounds from their pictures with just one click. This led many entry-level graphic designers to lose their jobs."

Mujahidul also said, "I used to create YouTube intro and outro videos for clients on Fiverr and sold my templates on sites like VideoHive. Today, my intervention is rarely needed, as AI tools can easily accomplish tasks that took me years to master and refine."

"Societies faced a similar job crisis after the Industrial Revolution," said Mashrur. "AI should not be seen as a threat, but rather as a tool that increases efficiency."

Adding to this, Mujahidul said, "We cannot deny the benefits that AI brings to the table just because it is predicted to cause a massive job crisis. Therefore, it is essential to upskill oneself to remain relevant in the job market."

Mujahidul went on to explain that rather than viewing AI as a threat, designers can focus on developing their unique style and creativity – areas where AI still falls short.

"Specialising in user experience (UX) and user interface (UI) design is another way to stay relevant, as these fields require human empathy and an understanding of user behaviour," Mujahidul noted.

Adding to the conversation, Musharrat said, "There is a reason why it is called 'artificial' intelligence as it can rarely capture the essence of personal writing styles and voices that truly resonate with readers. This is why SEO writers need to sharpen their writing skills to stay relevant in today's job market."

The use of AI has raised significant ethical concerns as more organisations in Bangladesh particularly turn to AI for their content and advertising needs. Mujahidul noted, "One such ethical issue with AI is that it often builds on existing artwork rather than creating something truly original. For example, if I enter a prompt into Midjourney AI – an AI image generator – it generates an image based on previously created art."

Mujahidul added that this process often means that real artists and graphic designers rarely receive the credit or recognition that they deserve.

"If you have travelled by metro, you may have noticed an AI-generated picture of a woman encouraging you to read a book during your journey," Mujahidul pointed out. "This advertisement, likely created by a single person using an AI tool, would previously have required models, photographers, and graphic designers to bring it to life."

Mujahidul explained that not only are these professionals facing job shortages, but the original artists whose work was used to train the data that generated the image are also deprived of royalties. "It is concerning," he concluded. "More and more organisations in Bangladesh are turning to AI for creating marketing materials, which raises several ethical concerns."

In regard to these ethical concerns, Raiyaan Ehab Shams, a growth marketer, remarked, "We are still in the novice stages of AI implementation. However, in the coming days, it will be essential for companies to develop specific policies regarding the use of AI to ensure that no one is exploited, and credit is given where it is due. For now, the least companies could do is properly disclose when they have used AI to generate images and graphics, as a step toward addressing these ethical concerns."

Relying solely on AI to generate marketing campaigns and advertisements may also not benefit organisations in the long run. Raiyaan explained, "Since AI cannot create anything truly original, if everyone relies on it, they will all end up with similar marketing strategies and materials, making it difficult for any organisation to gain a competitive edge. At the end of the day, human intervention is essential to thrive in this cutthroat competitive market."

Tazrin is a Finance and Banking student at Bangladesh University of Professionals (BUP).​