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AI can democratise higher education if used wisely – News & Events

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Posted on: 25 August 2025

Professor Orla Sheils, Vice-Provost and Chief Academic Officer, writes in The Irish Times about the opportunities presented by artificial intelligence to the higher education sphere, and argues that they should be embraced.

As we prepare to welcome a new cohort of students to colleges, concerns continue to swirl around the biggest change to hit education – and indeed the world – arguably since the invention of the internet: artificial intelligence.

Less than three years after the initial release of Chat GPT, universities are finding themselves firmly in its grip. The student who is not using AI is the exception, not the rule. Researchers are using it. Lecturers are using it. I am Trinity College Dublin’s chief academic officer and I can tell you I use it. 

I understand the hesitancy, or even the threat, felt by many around this topic. Universities have always prided themselves on being places of discovery, critical thinking and human connection. Our campuses are places where the student comes to experience a valuable amalgam of structured learning and life experience. 

Now AI is fully reshaping third-level education in ways that force us to rethink what we teach, how we assess and even why students come to college in the first place.

For generations, higher education has been a passport to opportunity, but for too many and too often it has also been a locked gate. If used wisely, AI has the potential to democratise third-level education in ways that once felt impossible. 

Let’s be realistic here, AI will not solve all social inequities overnight. But if used responsibly then it could help deliver on a democratic vision already outlined in Europe’s Bologna Process (a 1999 movement designed to reform the EU’s universities) and in Ireland’s own National AI Strategy. 

First, AI can expand our understanding of who a student is or who counts as a student by supporting efforts to expand lifelong learning and increasing accessibility. 

Ireland has already shown leadership in widening participation in education through initiatives such as Springboard+ and the Human Capital Initiative. Yet demand continues to outstrip supply for further and higher education places. A whole range of challenges around affordability, flexibility and personalisation of the education experience remain. 

AI can help us address these. 

It can provide tutoring that supports personalised learning at scale, meaning future students could receive individualised, tailored mentoring that no overstretched academic could hope to supply. 

AI-led automated transcription and translation supports can open doors for students with disabilities or those learning in a second language. 

Researchers can – and already do – use AI to speed up literature reviews or to filter large data sets. 

Algorithms can streamline timetables, grading tools can free up staff time and chatbots can respond immediately to student queries. All this time saved can be channelled into student supports. 

From this perspective, AI represents a transformative opportunity to reimagine third-level education as a universal public good rather than a privilege. 

Chat GPT symbol and a human hand

But there is a darker side. 

We cannot deny that over-reliance on generative AI risks blurring the line between original thought and machine output, leaving educators scrambling to maintain academic integrity. 

This is why ethical considerations are central to the responsible integration of AI in education. 

Most universities have by now deployed policies and institutional guidelines requiring the responsible engagement with and transparent acknowledgment of AI use by students and educators. 

There are ways to deploy AI safely – and universities are finding these. 

Data privacy is another critical issue, with not all users understanding that inputting student or institutional data into AI tools risks exposing sensitive information. 

The even larger risk, perhaps, is that if AI tools are being trained on biased or inaccurate data sources then they risk magnifying inequalities, giving the illusion of objectivity while potentially entrenching disadvantage. Reliance on skewed or inaccurate training sets can potentially reinforce societal inequalities such as gender or racial bias. 

Protecting source data and understanding the implications of its use are essential for mitigating these risks. Explorers in this Brave New World need to navigate the ethical minefield of data. We must always ask ourselves: who created it, who owns it, who profits from it, who uses it and how secure is it? Initiatives such as Trinity’s AI Accountability Lab led by Dr Abeba Birhane (pictured below) will help. 

Professor Abeba Birhane, with braided hair, standing in front of a dark blue background.

Perhaps the greatest danger in this new landscape is complacency. Universities risk treating AI as just another technology add-on to existing systems. But this is not like moving from log tables to scientific calculators or from overhead projectors to PowerPoint. 

AI makes a beeline for, and shines a spotlight on, the very essence of higher education. If learning can be personalised, if knowledge can be generated on demand, then that which remains uniquely human – namely creativity, judgment and empathy – becomes more important, not less. 

We have a real opportunity to take a lead here. Instead of rushing to adopt the latest tools from one of a handful of for-profit providers, perhaps we should be asking bigger questions. 

How might we use AI to widen access, rather than deepen divides? What guiderails do we need to protect privacy and integrity? How do we equip staff and students not just to use AI but also to leverage it? 

Ireland’s National AI Strategy places ethics, trust and inclusion at its centre. At EU level, the AI Act establishes a global standard for safe, transparent deployment. For universities, this means one thing: AI must serve students well, not replace educators. 

It must be a tool for equity. 

Where AI is concerned, the natural temptation will be to let the market set the pace, with universities scrambling to keep up. I believe that would be a mistake. 

Universities should be the place where society debates the values that will shape and underpin technology, rather than the locations where technology is “deployed”. 

The use of AI in universities should not be limited to the pursuit of efficiency or compromised by transitional worries about cheating. AI raises opportunities and questions about democracy, equity and the future of knowledge itself. 

Let’s embrace these. 

This article was published in the Irish Times on 25 August 2025 

 



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Education

Trump Effect $3T, $550B Japan Deal & AI Education

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President Donald Trump’s second term is already reshaping the U.S. economy by taking a lot of measures in education, investments, and foreign deals. The White House, with Donald Trump’s collaboration, is all set for $3 trillion in new U.S. investments. This includes a historic $550 billion trade agreement with Japan, and AI education initiatives in partnership with Microsoft nationwide, as per White House. Want to learn more? In this article, get to know more about the White House Trump Effect in 2025, including new investments, trade deals, and commitments that are shaping America’s economic future.

White House & Trump Effect: New U.S. Investments Explained

The Trump Effect, highlighted by the White House, has made major corporate pledges of over $3 trillion in new U.S. investments across key sectors:

Company/Project

Investment Amount

Sector/Focus

Apple

$600B

U.S. manufacturing & workforce

Project Stargate (SoftBank, OpenAI, Oracle)

$500B

AI infrastructure

NVIDIA

$500B

AI supercomputers

Micron Technology

$200B

Semiconductor manufacturing

IBM

$150B

U.S. operations expansion

TSMC

$100B

Semiconductor production

Johnson & Johnson, AstraZeneca, Roche

$50B+ (combined)

Pharma R&D

CMA CGM, DAMAC Properties, Sanofi

$20B each

Shipping, Real Estate, Pharma

Key Takeaways:

  • The White House promotes these as new investments under Trump’s second term.

  • Some analysts note that companies are accelerating them due to the favorable policy, which was previously planned.

  • Major sectors include manufacturing, AI, semiconductors, pharmaceuticals, and logistics for a broad economic push.

White House Implements Trump-Backed $550B Japan Investment Deal

On September 4, 2025, President Trump signed an executive order implementing the U.S.–Japan trade agreement. Key highlights are:

Category

Commitment/Change

Details

Japanese Investment

$550B

Largest Japanese pledge in U.S. history

U.S. Tariffs on Imports

15% baseline

With special treatment for autos, defense, and aerospace

U.S. Farm Exports

$8B annually

Rice, corn, soybeans, fertilizers, bioethanol

U.S. Market Access

Expanded

Automobiles, commercial aircraft, and defense equipment

Pending Issues

Pharma & Chips

Japan seeks clarity before full implementation

Key Takeaways:

  • The White House promotes this as the largest Japanese investment in U.S. history.

  • Farmers benefit from guaranteed export markets that strengthen the agricultural sector.

  • Pharma and semiconductors are the sectors that remain under negotiation.

Check Out: 

White House, Microsoft Team Up on AI Skills and Education

At the White House AI Education Task Force on September 4, 2025, Microsoft announced major commitments to support the administration’s AI Education Executive Order. Led by Brad Smith (Vice Chair, Microsoft) and Ryan Roslansky (CEO, LinkedIn), the initiative will:

Initiative

Details

School Programs

AI tools for teachers and students nationwide

Workforce Training

Microsoft Learn & LinkedIn courses to upskill U.S. workers

Presidential AI Challenge

National competition to boost AI literacy and career readiness

Key Takeaways:

  • K–12 schools, higher education, and workforce training are highly focused parts of the plan, ensuring a broad reach.

  • Supports the Trump administration’s goal of global AI leadership by equipping teachers and students with AI learning tools.

  • Expand workforce AI training programs nationwide.

  • Support the Presidential AI Challenge to build AI literacy and career readiness.

Conclusion

Therefore, the multi-trillion-dollar domestic manufacturing, semiconductors, and pharmaceutical expansions to farm exports and AI workforce training, these moves aim to boost U.S. economic growth, create jobs, and strengthen America’s global competitiveness. The real test will be whether these pledges turn into lasting results for American workers, industries, and students.



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Back 2 School: Local districts experimenting with AI learning tools in the classroom – WGRZ

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Back 2 School: Local districts experimenting with AI learning tools in the classroom  WGRZ



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The Need for AI Literacy in Indian Legal Education

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Artificial Intelligence (AI) is revolutionizing the contemporary landscape, harnessing the power of vast datasets to automate complex tasks and deliver tailored solutions. This transformative technology is reshaping our approach to longstanding challenges. India is at the leading edge of this AI evolution, ready to use the rapid technological progress to achieve remarkable growth in technology.

Legal education serves as the cornerstone for promoting social justice, equity, and a robust democracy, providing individuals with the expertise to navigate a society regulated by law. To accomplish this objective, society must cultivate proficient lawyers who serve essential functions within their communities. This necessitates a comprehensive framework that enables legal practitioners to address the changing demands of Indian society.

The obstacles presented by globalization, rising expenses, and ongoing judicial delays highlight the urgent necessity for technological advancement in the legal field. India’s dedication to Sustainable Development Goal 4 (SDG4) established in 2015, which prioritizes accessible and equitable quality education, corresponds with the National Education Policy 2020s objective to modernize legal education. By embracing global norms and new methodologies, the legal industry may markedly improve access to justice, safeguarding it as a fundamental right for all individuals.

After India’s independence in 1947, education was vital in fulfilling the moral needs of the newly liberated population. And, the main goal of the legal system was to realize the Constitution’s objectives, leading to the enactment of various laws for social reform, such as the Dowry Prohibition Act (1961) and the Hindu Marriage Act (1955). Today, India’s educational aim is to create a fair and just society. The Indian court system is struggling with a backlog of cases, corruption, and slow resolution times. The Supreme Court highlighted the importance of improving legal education to tackle these challenges and adapt to new global trends, advocating for the use of AI in the courts.

India’s current legal education and research framework is based on the common law tradition, and emphasizes upon critical thinking, teaching using Socratic methods, legal writing skills, oral advocacy, risk aversion, issue identification, and legal ethics. Although, these strategies have shaped generations of competent lawyers, yet they are now regarded as insufficient. Because, it places greater importance on theoretical understanding rather than on the practical abilities that are essential for contemporary legal practice. Lawyers are now anticipated to possess strong analytical skills and be proficient in utilizing legal technologies such as document automation and predictive analytics.

The expectations for newly graduated lawyers have changed considerably. They are now required to have robust technological skills, adaptability, and the capability to work alongside professionals from different fields, in addition to their conventional responsibilities in legal research and advocacy. Clients today look for legal professionals who can serve as strategic partners, grasping the connections between law, technology, and business. In this context, it is crucial for legal educators to integrate frameworks that align technical comprehension of AI with ethical and practical training. This method guarantees that students are prepared not just to use AI tools, but also to evaluate their results critically.

Consequently, the traditional method of legal education requires the implementation of more flexible and tailored curricula to tackle the growing complexities of legal matters in a rapidly globalizing and digital environment.

There is a notable trend towards incorporating AI literacy in various legal fields, prompting many law schools worldwide to either introduce or revise their AI courses introducing new courses centred around AI, such as Programming for Lawyers, AI Ethics and Privacy, AI and Experiential Learning etc. The National Law University of India in Bengaluru, OP Jindal University in Sonipat, and the Rajiv Gandhi School of Intellectual Property Rights in IIT Kharagpur have incorporated AI-focused courses into their curriculum. This initiative aims to equip students with the skills to utilize AI tools, addressing the technological needs of the profession, also understanding AI technologies can improve their job security and enhance their competitiveness in an ever evolving industry. Legal firms and experienced lawyers may expect younger associates to leverage generative AI technologies, given their familiarity with the changing tech landscape. AI will not replace lawyers; instead, those who adopt AI will likely excel over those who do not. An AI-focused curriculum can help cultivate lawyers who are less susceptible to being replaced. It is essential for students to not only learn how to use AI tools effectively but also to receive guidance on their optimal application.

While coding skills aren’t a requirement for lawyers but familiarize themselves with tools and platforms that are beneficial in the legal sector. Legal professionals can utilize these tools to streamline contract automation, conduct legal research, and monitor compliance effectively. This not only makes it easier to do analyses of vast datasets, automating complex tasks, providing customized solutions and uncover different interpretations of laws across jurisdictions, and can also assist judges with routine tasks which will allow them to focus on more complex issues.

The incorporation of AI into legal education is essential to meet the growing need for faster, more accurate, and accessible legal services. AI’s ability to perform tasks in seconds that traditionally take much longer necessitates a thorough overhaul of the legal curriculum to embrace digital advancements. Law schools in India are grappling with a pressing challenge such as outdated curriculum, many teachers are not well-versed in data science, machine learning, and artificial intelligence. This gap in knowledge, coupled with a resistance to shift from traditional teaching methods, hampers the integration of these technologies into legal education. Furthermore, the current infrastructure is inadequate for overseeing AI usage, as there are no clear guidelines for its proper application.

The Bar Council of India (BCI) is responsible for regulating legal education in India, established under the Advocates Act of 1961. The BCI’s primary role is to supervise the legal profession, ensuring lawyers adhere to professional conduct standards and safeguard the profession’s interests. Over time, the BCI’s mandate has expanded to include establishing standards for law colleges, including curriculum, infrastructure, faculty qualifications, and student admissions. This standardization ensures quality but limits the capacity of law schools to innovate and experiment with new approaches. Many law programs follow a strict curriculum, limiting opportunities for integrating innovative interdisciplinary subjects. The BCI has released a directive promoting the incorporation of subjects like blockchains, electronic discovery, cyber-security, robotics, artificial intelligence, and bio-ethics into curricula. However, law schools in India have neglected to integrate AI into their curricula, as the existing curriculum is extensive. Educators often shy away from integrating new technology in their classrooms due to the extra workload it entails. Even with access to labs and advanced tools, many schools struggle to deliver up-to-date, AI-enhanced learning materials. This gap arises from a lack of staff expertise in utilizing AI effectively, leaving students without the benefits of modern educational resources.

Ensuring digital inclusion is crucial for the sustainable integration of AI, as it ensures fair access to digital tools and resources for all students, regardless of their socioeconomic status or geographic location. Students enrolled in law colleges located in rural or semi-urban regions may experience a disadvantage in accessing technology and education in artificial intelligence relative to their metropolitan counterparts. Elite educational institutions and communities often have sophisticated digital infrastructures, such as high-speed internet, modern gadgets, and cloud computing resources, allowing them to adopt cutting-edge EdTech solutions.

Law schools in economically disadvantaged or rural regions encounter difficulties stemming from obsolete gear, unreliable internet connectivity, or a total absence of access to AI resources. The prevalence of AI materials and technologies in English constitutes a substantial obstacle to accessibility for non-English speaking students.

In addition to revising the curriculum to incorporate AI subjects, it is equally crucial to train the faculty and staff. This ensures that students are well-informed about the effective use of AI, fostering a sense of comfort and confidence. Such an approach is vital for achieving optimal outcomes in education and beyond.



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Views expressed above are the author’s own.



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