GTI’s Position On The Use of AI

We believe AI can play a positive role in helping people make better decisions, discover opportunities, improve access to careers information, and make recruitment and employability processes more effective. 

We also recognise that AI needs to be used carefully. Students, candidates, universities and employers should be able to trust that AI is being used in ways that are fair, transparent, secure and ultimately human-centred.

1. Using AI for Clear and Positive Purposes

We use AI where we believe it can create genuine benefit. This may include improving content quality, helping students understand their options, supporting better matching between candidates and opportunities, improving careers guidance, and helping employers and universities work more efficiently.

Our aim is not to use AI for its own sake. We use it where it can make services more useful, accessible, consistent or personalised.

2. Supporting People, Not Replacing Them

AI can be very helpful in identifying patterns, making recommendations and supporting decision-making. However, we do not believe that important decisions about people should be reduced to an automated output.

Where AI is used in areas such as matching, ranking, recommendations, employability support, recruitment workflows or candidate assessment, it should support informed human judgement. It should not remove the need for people to think carefully, apply context, and take responsibility for final decisions.

For decisions that may materially affect a student, candidate or new hire, we believe human oversight should be meaningful. This means that people should be able to understand the AI output, question it, consider wider context and override it where appropriate.

3. Fairness and Inclusion

We are committed to helping students and candidates access opportunities fairly. We recognise that unfairness can arise in many ways: through human judgement, historical data, rules-based systems or AI models.

We therefore seek to design, review and improve our human and technology systems with fairness in mind. This includes considering whether AI-supported processes could disadvantage individuals or groups, and taking steps to identify and reduce that risk.

Students and candidates may often benefit from guidance as to if and how to use AI, for example within career advice or assessments as part of job applications.  We work with educator and employer partners to provide advice that is mutually agreed, fair and robust.  

Our goal is to use AI in ways that support wider access to opportunity, rather than reinforcing existing barriers.

4. Transparency and Explainability

We want people to understand when AI is being used and what role it plays.

Where AI materially contributes to a recommendation, match, ranking, assessment or other significant output, we aim to provide clear and proportionate information about how the system works and what factors may have influenced the result.

We also believe people should have appropriate ways to ask questions, seek clarification and request human review where an AI-supported output has a meaningful impact on them.

5. Privacy, Security and Responsible Use of Data

We handle personal data carefully and in accordance with applicable data protection laws. We use data for defined and legitimate purposes, apply appropriate security measures, and seek to limit the data used in AI systems to what is necessary and proportionate.

Where AI involves profiling, personalisation or automated analysis, we consider the privacy risks and apply safeguards appropriate to the context.

6. Compliance and Good Governance

AI regulation is developing quickly, including through the EU AI Act and other local laws. We monitor relevant legal requirements and design our governance processes to support responsible compliance.

Because some AI uses in education, recruitment and employment may be considered higher risk, we take particular care when AI could influence access to learning, development, employment or career opportunities.

This includes considering risk, fairness, transparency, human oversight, data quality, security, supplier assurance and ongoing monitoring when designing, procuring or deploying AI-enabled systems.

7. Accountability and Continuous Improvement

We take responsibility for the AI-enabled systems and services we design, supply and use. We know that responsible AI is not a one-off exercise. It requires ongoing review, learning and improvement.

We will continue to monitor how AI performs in practice, listen to feedback from students, universities, employers and partners, and improve our systems where we identify risks, limitations or better ways of working.

8. Working With Others

The early careers ecosystem depends on trust. We work with universities, employers, students and partners to encourage responsible, thoughtful and practical use of AI.

We want AI to help people make better decisions, not make people feel judged by systems they do not understand. Our approach is to be careful, open, collaborative and focused on positive outcomes for the people that we serve.