ߣߣƵ

Caution urged over blanket roll-out of AI to staff and students

Several universities have committed to giving everyone access to latest technology, but expert says a more nuanced approach is needed

Published on
July 30, 2026
Last updated
July 30, 2026
Students using computer during programming lesson
Source: Getty Images/izusek

Several universities have begun rolling out artificial intelligence (AI) access to all their staff and students, but critics warn that the “blanket” approach may encourage inappropriate use of the new technology.

Earlier this year the University of Manchester 𳦲 to promise to give its 65,000 students and staff members access to Microsoft’s M365 Copilot after agreeing a deal with the tech giant.

Paul Gregory, Copilot programme director at the university, told ߣߣƵ that all staff now have access, with students to follow in the new academic year once “engagement and discovery work” has been compledted. Access to the technology has been accompanied by the creation of a Copilot student advisory group to begin “co-creating communications resources and engagement approaches” for its use.

Approximately 50 “listening sessions” have also been held across the year to understand how its people are interacting with the tool.

ߣߣƵ

ADVERTISEMENT

Some of the recurrent anxieties around AI – including the environmental impact of the data centres used to process and power the technology – appear to have cropped up as part of those discussions. Gregory said “the most common themes raised have been responsible use, data security, the implications for teaching and learning, and environmental sustainability”.

The University of Leicester is also in the process of sharing M365 Copilot across its entire community, with the hope of completing student and staff access in time for the new academic year to begin this September.

ߣߣƵ

ADVERTISEMENT

Leicester’s vice-chancellor Nishan Canagarajah has  the institution, saying “if we want to remain a world-leading and inclusive university it is vital that we become early adopters and embrace the opportunity for change”.

The University of Liverpool, meanwhile, is approaching the technology more cautiously. It is  of a proof-of-concept trial of M365 Copilot, set to run until November this year.

“The university is committed to ensuring our staff and students are equipped for the future workplace and to that end we are currently trialling a number of different AI models across various use cases,” a spokesperson said.

The University of Oxford last year opted not for the Microsoft tool, but to  to all of its community in time for 2025-26, part of a five-year partnership between Oxford and OpenAI.

ߣߣƵ

ADVERTISEMENT

But some are not convinced that giving widespread access to the tools is the right way to go.

Kaśka Porayska-Pomsta, a professor of AI in higher education and director of the UCL Knowledge Lab, told THE she thought universities had both “moved too quickly and at the same time not quickly enough”.

“Some of it is, I think, too fast – because it’s adopting technology that’s not really backed with evidence and best practices,” she said. “The truth is everybody is scrambling to figure out how to use this technology best and at the same time trying to understand the long-term implications.”

Porayska-Pomsta suggested that committing to institution-wide roll-outs created an implication that everyone ought to be using generative AI, which failed to prove how the technology was useful to “specific contexts” and led to “blanket assumptions” it would work for every subject.

ߣߣƵ

ADVERTISEMENT

She questioned the reliance on specific chatbots over others and the idea that generative AI could be used not in the “service of human development” but to undermine the importance of human learning.

“The anxiety that the whole situation creates, I think, is a direct result of this stance of inevitability which is being propelled by industry, certainly by companies such as Microsoft, because it’s in their interest and it’s understandable,” Porayska-Pomsta said. “But it’s really important for us as educators to have the courage to pause and to think about the practices which will allow for a more considered case.”

ߣߣƵ

ADVERTISEMENT

georgia.luckhurst@timeshighereducation.com

Register to continue

Why register?

  • Registration is free and only takes a moment
  • Once registered, you can read 3 articles a month
  • Sign up for our newsletter
Please
or
to read this article.

Related articles

Reader's comments (4)

Not "several" but a great many around the world.
I make limited and very specific use of gAI myself, but am ramping up teaching students how to use it correctly should they choose to do so. I just wish I could turn it off in the places I don't want it, like in Word documents.
**Elevated Policy Note** **Subject:** Hierarchical Accountability Framework for Generative AI Access and Use **Core Premise** Access to, and responsible use of, generative AI should be governed by the natural “parent” authority closest to the individual. Accountability flows upward from the unit that has the clearest duty of care and the greatest practical ability to set norms, monitor use, and correct misuse. ### 1. Primary Accountability Layers | Layer | “Parent” Authority | Scope of Responsibility | Accountability Holder | |-------|--------------------|--------------------------|-----------------------| | Family / Household | Parents or legal guardians | Minors and dependent young adults living under parental care | Head(s) of household | | Educational Institution | School, college, university | All enrolled students and staff while acting in institutional capacity | Head of institution (principal, vice-chancellor, board) + academic governance bodies | | Organisation | Employer, professional body, membership association, NGO, religious body, etc. | Employees, members, or affiliates when using AI in organisational context or on organisational systems | Chief executive / governing board | | Local / Public Authority | Municipal or district administration | Individuals who fall outside the three layers above | Designated local AI coordination officer or equivalent public office | This creates a nested, not competing, structure. A university student is primarily accountable to the university for academic use; the same person may also be accountable to an employer for workplace use and to parents if still a minor. ### 2. What Each Layer Must Do Every parent authority is required to: - Publish a clear, accessible AI use policy appropriate to its context. - Ensure reasonable access for those under its care (equity of opportunity). - Provide age- or role-appropriate literacy and safety guidance. - Set disclosure and integrity rules where relevant. - Maintain basic oversight and a simple escalation path for harm or misuse. - Review the policy periodically against evidence of benefit and risk. Government’s role is to define the minimum standards each layer must meet and to designate the residual public authority for those without a private parent. ### 3. The Residual Case: People Without a Parent Authority Not everyone belongs to a family that can exercise meaningful oversight, an educational institution, or a formal organisation. For these individuals the residual duty falls to the **local public administration**. Practical mechanisms: - Local authorities maintain a lightweight public AI access and literacy service (physical or digital points, short mandatory orientation modules, basic safety guidance). - Registration or simple verification can be used where high-risk tools or high-volume access are involved, but mass surveillance or licensing of ordinary use is avoided. - The local office becomes the default “parent of last resort” for reporting serious misuse, supporting vulnerable users, and ensuring baseline access is not denied purely on the grounds of lacking institutional affiliation. - National framework legislation designates which tier of local government holds this residual duty and how it is funded and overseen. This prevents a permanent underclass of unregulated or completely excluded users while keeping the primary responsibility as close to the individual as possible. ### 4. Principles That Remain Constant Across All Layers - Access is the default; restriction requires justification. - Critical literacy and the right to decline use are protected. - Data protection and privacy standards apply uniformly. - Accountability is real: parent authorities can face regulatory or civil consequences for systemic failure to set and enforce reasonable rules. - No parent authority may outsource its duty entirely to a technology vendor. ### 5. Government’s Proper Role Government does not replace the parent layers. It: - Legislates the hierarchical duty structure and the residual local-authority obligation. - Sets the minimum content of policies (integrity, privacy, literacy, equity, review). - Empowers a national or regional oversight body to audit systemic failures and issue binding guidance. - Funds shared literacy resources and residual local services. - Avoids dictating specific tools or pedagogical/organisational methods. ### 6. Expected Effects - Clear lines of responsibility instead of diffuse “everyone and no one” accountability. - Institutions and organisations treat AI governance as part of their ordinary duty of care rather than an optional innovation project. - Families receive recognised standing and practical support rather than being left to improvise. - Individuals outside formal structures still have a defined public backstop. - Innovation and legitimate use remain possible because regulation stays principles-based and layered rather than centralised and prescriptive. **Summary statement for adoption** Generative AI access and use shall be governed by the nearest competent parent authority—family, educational institution, or organisation. Heads of those authorities are accountable for setting and upholding appropriate rules. Where no such authority exists, the designated local public administration assumes residual responsibility. National law establishes the framework, the minimum standards, and the residual duty; it does not micro-manage tools or everyday decisions. This structure scales from the household to the workplace to the university while closing the gap for those who would otherwise fall through.
new
Brilliant satire! You are Master ironist!! Thank you.

Sponsored

Featured jobs

See all jobs
ADVERTISEMENT