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Improving AI Governance for Stronger University Compliance and Innovation — Campus Technology

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Improving AI Governance for Stronger University Compliance and Innovation

As artificial intelligence (AI) becomes more integrated into higher education, universities must adopt robust governance practices to ensure AI is used responsibly. AI can generate valuable insights for higher education institutions and it can be used to enhance the teaching process itself. The caveat is that this can only be achieved when universities adopt a strategic and proactive set of data and process management policies for their use of AI.

Unique Data Challenges in Higher Education

Higher education faces unique data challenges stemming from both regulatory requirements and the operational structure of universities. On the regulatory side, institutions must comply with a variety of frameworks. These include the Family Educational Rights and Privacy Act (FERPA) for student data privacy, the Health Insurance Portability and Accountability Act (HIPAA) for medical schools, and the Payment Card Industry Data Security Standard (PCI DSS) for financial transactions. Regional regulations may also apply, such as the California Consumer Privacy Act (CCPA) for data protection.

Federal requirements related to accepting government funding for research further complicate compliance efforts. Academic institutions may have multiple layers of internal policies to address these regulatory requirements, with multiple levels of oversight that may include faculty-senate or board-level buy-in. This creates a complex environment in which universities can struggle to balance strict regulatory compliance with their own data management practices.

Against this backdrop, data governance is about more than just security; it also encompasses data quality, management practices, and clearly defined roles and responsibilities. This expansive view of governance is needed to match AI’s expansive reach into virtually every aspect of university operations.

Key Priorities for AI Governance

To improve data governance and AI utilization in higher education, institutions should focus on several key priorities. One critical area is data privacy and ensuring that AI systems operate effectively without inserting sensitive student data into models. Techniques such as retrieval-augmented generation (RAG) and graph-based AI approaches allow institutions to utilize AI-driven insights while maintaining strict privacy controls.

Institutions should also explore privacy-preserving AI techniques, such as federated learning, which enables AI models to be trained on decentralized data without exposing sensitive information. Synthetic data generation is another valuable approach, allowing institutions to create lifelike datasets that support AI research and development while safeguarding real student data. By leveraging these methods, higher education institutions can maintain high levels of data privacy while maximizing AI’s potential to enhance student success.

Accountability is another major priority. Treating AI as an actor in governance policies ensures transparency in decision-making, reinforcing ethical AI adoption across all academic processes. For example, AI can analyze application packages, assisting with decision-making by identifying patterns in successful applications. AI-driven chatbots can also support applicants throughout the admissions process by answering questions and guiding them through submission requirements, but these capabilities should be backed up with a transparent and easily documented chain of logic to ensure process compliance. 

Strong AI Governance Drives Innovation Across the University

Transformation teams in higher education recognize that the above priorities and techniques in managing AI must be supported by the right modernization steps at the systems and infrastructure level. Platforms must be designed to break across traditional data silos to provide flexibility in integrating AI solutions across various academic departments and ensuring that governance frameworks are consistently applied throughout.



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Anthropic Continue The Push For AI In Education

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Let’s be honest. AI has already taken a seat in the classroom. Google, Microsoft, OpenAI, Anthropic have all been pushing hard. Today brings more announcements from Athropic, the company behind the AI chatbot Claude, adding even more momentum. The shift isn’t subtle anymore. It’s fast, loud and it’s happening whether schools are ready or not.

It’s not only big tech. The U.S. government is also driving efforts to integrate A1 into education.

The Balance of Innovation and Safety

There’s real concern, and for good reason. Sure, the benefits are hard to ignore. AI tutoring, lighter workloads for teachers, more personalized learning paths for students. It all sounds great. But there’s a flip side. Missteps here could make existing education gaps worse. And once the damage is done, it’s tough to undo.

Many policymakers are stepping in early. They’re drafting ethical guardrails, pushing for equitable access, and starting to fund research into what responsible use of AI in education really looks like. Not as a PR move, but because the stakes are very real.

Meanwhile, the tech companies are sprinting. Google is handing out AI tools for schools at no cost, clearly aiming for reach. The strategy is simple: remove barriers and get in early. Just yesterday Microsoft, OpenAI, and Anthropic teamed up to build a national AI academy for teachers. An acknowledgment that it’s not the tools, but the people using them, that determine success. Teachers aren’t optional in this equation. They’re central.

Claude’s New Education Efforts

Claude for Education’s recent moves highlight what effective integration could look like. Its Canvas integration means students don’t need to log into another platform or juggle windows. Claude just works inside what they’re already using. That kind of invisible tech, could be the kind that sticks.

Then there’s the Panopto partnership. Students can now access lecture transcripts directly in their Claude conversations. Ask a question about a concept from class and Claude can pull the relevant sections right away. No need to rewatch an entire lecture or scrub through timestamps. It’s like giving every student their own research assistant.

And they’ve gone further. Through Wiley, Claude can now pull from a massive library of peer-reviewed academic sources. That’s huge. AI tools are often criticized for producing shaky or misleading information. But with access to vetted, high-quality content, Claude’s answers become more trustworthy. In a world overflowing with misinformation, that matters more than ever.

Josh Jarrett, senior vice president of AI growth at Wiley, emphasized this: “The future of research depends on keeping high-quality, peer-reviewed content central to AI-powered discovery. This partnership sets the standard for integrating trusted scientific content with AI platforms.”

Claude for Education are building a grassroots movement on campuses, too. Their student ambassador program is growing fast and new Claude Builder Clubs are popping up at universities around the world. Rather than being coding bootcamps or formal classes, they’re open spaces where students explore what they can actually make with AI. Workshops, demo nights and group builds.

These clubs are for everyone. Not just computer science majors. Claude’s tools are accessible enough that students in any field, from philosophy to marketing, can start building. That kind of openness helps make AI feel less like elite tech and more like something anyone can use creatively.

Privacy is a big theme here, too. Claude seems to be doing things right. Conversations are private, they’re not used for model training and any data-sharing with schools requires formal approvals.cStudents need to feel safe using AI tools. Without that trust, none of this works long term.

At the University of San Francisco School of Law, students are working with Claude to analyze legal arguments, map evidence and prep for trial scenarios. This is critical training for the jobs they’ll have after graduation. In the UK, Northumbria University is also leaning in. Their focus is on equity, digital access and preparing students for a workplace that’s already being shaped by AI

Graham Wynn, vice-chancellor for education at Northumbria University, puts the ethical side of AI front and center: “The availability of secure and ethical AI tools is a
significant consideration for our applicants, and our investment in Claude for Education
will position Northumbria as a forward-thinking leader in ethical AI innovation.”

They see tools like Claude not just as educational add-ons, but as part of a broader strategy to drive social mobility and reduce digital poverty. If you’re serious about AI in education, that’s the level of thinking it takes.

Avoiding Complexity and Closing Gaps

The core truth here is simple. AI’s role in education is growing whether we plan for it or not. The technology is getting more capable. The infrastructure is being built. But what still needs to grow, is a culture of responsible use. The challenge for education isn’t chasing an even smarter tool, but ensuring the tools we have serve all students equally.

That means listening to educators. It means designing for inclusion from the ground up. It means making sure AI becomes something that empowers students, not just another layer of complexity.

The next few years will shape everything. If we get this right, AI could help close long-standing gaps in education. If we don’t, we risk deepening them in ways we’ll regret later.

This is more than a tech story. It’s a human one. And the decisions being made today will echo for a long time.



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HBK trustee Harsh Kapadia shares vision for AI in education

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New Delhi [India], July 9: Harsh Kapadia, Trustee of The HB Kapadia New High School, represented the institution at the prestigious Economic Times Annual Education Summit 2025 in New Delhi. The summit, themed “Fuelling the Education Economy with AI: The India Story”, brought together some of the country’s most influential voices in education, technology, and policymaking.

Sharing the stage with national leaders such as Sanjay Jain, Head of Google for Education, India, Aanchal Chopra, Regional Head, North, LinkedIn, Shishir Jaipuria, Chairman of Jaipuria Group of Schools, and Shantanu Prakash, Founder of Millennium Schools, Mr. Kapadia highlighted the critical role of Artificial Intelligence in shaping the future of Indian education.

In his remarks, Mr. Kapadia emphasised the urgent need to integrate AI into mainstream schooling. He also said that this will begin not with advanced algorithms but with teachers.

“AI does not begin with algorithms. It begins with empowered educators,” he said, calling for schools to prioritise teacher readiness alongside technological upgrades.

He elaborated on HBK’s progressive steps under its FuturEdge Program, a future-readiness initiative that integrates academics with emerging technologies and life skills.

“Artificial Intelligence will soon be as essential to education as electricity and the internet,” he said, emphasising that while AI is a powerful technological tool, its greatest impact lies in how teachers and students use it collaboratively. He noted that AI won’t replace teachers, but teachers who use AI will replace those who don’t.

His recommendations included weekly AI training periods for teachers, AI-infused school curriculum, infrastructure upgrades, and cross-industry collaborations to expose students to real-world applications of AI.

Mr. Kapadia shared that HBK has already begun incorporating AI into its school assemblies and is planning to introduce a dedicated “AI Period” in the academic calendar. The school is also conceptualising an annual “AI Fest” for students, where innovation and problem-solving will take centre stage. In terms of infrastructure, the school is actively upgrading classrooms with AI-enabled digital panels and computer labs designed for hands-on learning.

Calling for greater collaboration between schools and industry, Mr. Kapadia also proposed regular expert-led sessions with professionals from Google, LinkedIn, IBM, and AI startups.

Concluding his address, he reaffirmed HBK’s commitment to pioneering responsible and human-centred use of technology in education, saying, “AI is not a separate subject. It is a way of thinking, creating, and teaching. If we want future-ready students, we must begin with future-ready schools.”

 



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AI is now allowed in IITs and IIMs, has the ethics debate reached its end?

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In IITs, IIMs, and universities across the country, the use of AI sits in a grey zone. Earlier this year, IIM Kozhikode Director Prof Debashis Chatterjee said that there was no harm in using ChatGPT to write research papers. What started as a whisper has now become a larger question: not whether AI can be used, but how it should be.

Students and professors alike are now open to using it. Many already do, but without clear guidelines. The real issue now isn’t intent, but the lack of defined boundaries that need to be set.

Across India’s top institutions, including IITs, IIMs, and others, the debate is no longer theoretical. It’s practical; real; urgent. From IIT Delhi to IIM Sambalpur, from classrooms to coding labs, students and faculty are confronting the same reality: AI is not just here. It’s working. And it’s working fast.

“There’s no denying AI is here to stay, and the real question is not if it should be used, but how. Students are already using it to support their learning, so it’s vital they understand both its strengths and its limits, including ethical concerns and the cognitive cost of over-reliance,” said Professor Dr Srikanth Sugavanam, IIT Mandi, responding to a question to India Today Digital.

“Institutions shouldn’t restrict AI use, but they must set clear guardrails so that both teachers and students can navigate it responsibly,” he further added.

INITIATIVE BY IIT DELHI

In a changing but firm step, IIT Delhi has issued guidelines for the ethical use of AI by students and faculty. The institute conducted an internal survey before framing them. What they found was striking.

Over 80 percent of students admitted to using tools like ChatGPT, GitHub Copilot, Perplexity AI, Claude, and Chatbots.

On the other hand, more than half the faculty members said they too were using AI — some for drafting, some for coding, some for academic prep.

The new rules are not about banning AI. It is more about drawing a line that says: use it, but don’t outsource your thinking.

ON CAMPUS, A SHIFT IS UNDERWAY

At IIM Jammu, students say the policy is strict: no more than 10 percent AI use is allowed in any assignment.

One student put it simply: “We’re juggling lectures, committees, and eight assignments in three months. Every day feels like a new ball added to the juggling act. In that heat, AI feels like a bit of rain.”

They’re not exaggerating. There are tools now that can read PDFs aloud, prepare slide decks, even draft ideas. The moment you’re stuck, you can ‘chat’ your way out. The tools are easy, accessible, and, for many, essential.

But here’s the other side: some students now build their entire workflow around AI. They use AI to write, AI to humanise, AI to bypass AI detectors.

“Using of plagiarism detection tools, like Turnitin, which claim to detect the Gen-AI content. However, with Gen-AI being so fast evolving, it is difficult for these tools to keep up with its pace. We don’t have a detailed policy framework to clearly distinguish between the ethical and lazy use of Gen-AI,” said Prof Dr Indu Joshi, IIT Mandi.

NOT WHAT AI DOES, BUT WHAT IT REPLACES

At IIM Sambalpur, the administration isn’t trying to hold back AI. They’re embracing it. The institute divides AI use into three pillars:

  • Cognitive automation – for tasks like writing and coding
  • Cognitive insight – for performance assessment
  • Cognitive engagement – for interaction and feedback

Students are encouraged to use AI tools, but with one condition: transparency. They must declare their sources. If AI is used, it must be cited. Unacknowledged use is academic fraud.

“At IIM Sambalpur, we do not prohibit AI tools for research, writing, or coding. We encourage students to use technology as much as possible to enhance their performance. AI is intended to help enhance, not shortcut,” IIM Sambalpur Director Professor Mahadeo Jaiswal told India Today.

But even as tools evolve, a deeper issue is emerging: Are students losing the ability to think for themselves?

MIT’s recent research says yes, too much dependence on AI weakens critical thinking.

It slows down the brain’s ability to analyse, compare, question, and argue. And these are the very skills institutions are supposed to build.

“AI has levelled the field. Earlier, students in small towns didn’t have mentors or exposure. Now, they can train for interviews, get feedback, build skills, all online. But it depends how you use it,” said Samarth Bhardwaj, an IIM Jammu student.

TEACHERS ARE UNDER PRESSURE TOO

The faculty are not immune any more. AI is now turning mentor and performing stuff that even teachers cannot do. With AI around, teaching methods must change.

The old model — assign, submit, grade — works no more. Now, there’s a shift toward ‘guide on the side’ teaching.

Less lecture, more interaction. Instead of essays, group discussions. Instead of theory, hackathons.

It is all about creating real-world learning environments where students must think, talk, solve, and explain why they did what they did. AI can assist, but not answer for them.

SO, WHERE IS THE LINE?

There’s no clear national rule yet. But the broad consensus across IITs and IIMs is this:

  • AI should help, not replace.

  • Declare what you used.

  • Learn, don’t just complete.

Experts like John J Kennedy, former dean at Christ University, say India needs a forward-looking framework.

Not one that fears AI, but one that defines boundaries, teaches ethics, and rewards original thinking.

Today’s students know they can’t ignore AI. Not in tier-1 cities. Not in tier-2 towns either.

Institutions will keep debating policies. Tools will keep evolving. But for students, and teachers, the real test will be one of discipline, not access. Of intent, not ability.

Because AI can do a lot. But it cannot ask the questions that matter.

– Ends

Published By:

Rishab Chauhan

Published On:

Jul 9, 2025



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