AI in the Workplace – Opportunities and Legal Risks

Avoiding AI risks and Reaping the Benefits Through Compliant HR teams

Author: Sophie George

Key contact: Chris Aldridge

Artificial intelligence (“AI”) is transforming how employers recruit, manage, and monitor their people. But its use comes with legal and ethical challenges – particularly around discrimination, privacy, and decision-making. We take a look at AI in the Workplace and unpack the legal risks and opportunities.

Why AI matters for employers

From AI-powered recruitment tools to productivity-tracking software, artificial intelligence is now embedded in many workplace systems. Used responsibly, AI can drive efficiency, reduce bias, and unlock insights. Used carelessly, it can expose employers to significant legal, reputational, and regulatory risks.

Consequently, employers must assess the legal implications of using AI across the employment lifecycle.

Discrimination risks in recruitment and decision-making

AI tools used to shortlist CVs, score interviews, or predict performance are often trained on historical data – data that may reflect existing workplace biases.

Under the Equality Act 2010, if an AI tool disadvantages candidates with a protected characteristic (e.g., age, gender, race, disability), the employer may be liable – even if a third party supplies the tool.

Examples of legal risks and issues:

• An algorithm that learns to favour candidates who resemble past successful (often male or white) hires.
• Software that misinterprets neurodivergent behaviours in video interviews.
• An increased dependence on AI can undermine the personal dynamics of the employment relationship. Unlike human managers, AI tools lack the intuition and judgment needed to make nuanced decisions, potentially resulting in less empathetic and context-aware outcomes.
• The shift away from human interaction may weaken the bond between line managers and their direct reports, leading to potential challenges in communication, motivation, and overall employee engagement.

Best practice:

• Conduct equality impact assessments for AI tools.
• Avoid fully automated decision-making without human oversight.
• Regularly audit tools for biased outcomes and retain accountability.

AI and productivity monitoring

AI is increasingly used to track employee performance and to manage the employment relationship – for example, by analysing emails, keyboard activity, or time spent on tasks. In managing the employment relationship, employers may use AI-driven tools to decide which employees should undergo performance management or disciplinary/capability procedures.

However, these tools rely on data, and so their effectiveness and impartiality will vary according to the data they are trained on. Employers should therefore remember that human oversight will continue to play a crucial role.

Legal risks involved with relying on AI as a productivity monitoring tool:

• Infringement of privacy and autonomy rights.
• The inability to know exactly which factors have been considered, with what weight. Delegating the decision-making process to an AI tool can create a lack of clarity and transparency.

What employers should do:

• Be transparent about monitoring purposes and methods.
• Engage with staff and consult representatives where required.
• Avoid relying exclusively on AI to assess performance or trigger disciplinary/capability proceedings.

Opportunities: efficiency, fairness, and compliance

While risks are real, so are the benefits when AI is applied thoughtfully. Among the many opportunities brought by AI include, teams may benefit from:

• Standardising recruitment: structured, criteria-led shortlisting can reduce unconscious bias if appropriately trained.
• Flagging legal risks: AI tools can monitor employment contracts or policies for compliance issues.
• Identifying wellbeing concerns: sentiment analysis tools may help detect patterns of burnout or disengagement.

The tools currently available mark just the beginning of AI’s potential in the workplace.

But employers must retain oversight. Delegating HR decisions entirely to machines is not just risky – it may soon be unlawful under upcoming UK and EU AI regulation.

Next steps for employers

To balance innovation with compliance, employers need to:

1. Audit current AI tools: what data is being used, and for what purpose?
2. Train HR and managers: help them understand the limits and responsibilities around AI use.
3. Update policies: reflect AI use in data protection, recruitment, and disciplinary policies.

How can Acuity help?

At Acuity Law, we advise employers on the responsible use of AI – from risk assessments to policy drafting and data compliance. Whether you are implementing modern technology, reviewing existing practices or looking to implement a new AI in the workplace policy, we can help you stay compliant and ahead of regulatory change.

Contact our Employment and Commercial & Technology teams to ensure your AI tools are working for – not against – your business. And check out our upcoming seminar in June: AI Uncovered: A Playbook for Legal Success for hints and tips when implementing AI solutions.