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AI in the workplace – your quiz results 1. IT departments are solely responsible for the implementation and use of AI in workplaces. You answered false. This is correct. Generative AI tools are widely available and can support a variety of tasks, so they may be used across different teams within a...

AI in the workplace – your quiz results 1. IT departments are solely responsible for the implementation and use of AI in workplaces. You answered false. This is correct. Generative AI tools are widely available and can support a variety of tasks, so they may be used across different teams within an organisation. People professionals should ensure the AI-embedded systems they use in their roles enhance employee experience and performance. They should also be interested in how evolving technologies are changing critical skills in the company and be prepared to support people through this change. It’s important to encourage experimentation and learning as well as ethical and responsible use of AI and other technologies. 2. AI can completely replace all human decision-making at work. You answered false. This is correct. AI can improve efficiency and assist with decision-making, but it's unlikely to completely replace all human decision-making at work as it can lack the contextual understanding, empathy and ethical judgement of humans. Organisations need to decide when it is appropriate to use AI-embedded tools and ensure its use complies with local data protection laws. 3. Generative AI tools can automate repetitive tasks and increase productivity. You answered true. This is correct. Generative AI tools can create content from existing patterns of data that it has been trained on (such as text, voice, images). People have found a wide range of uses including summarising long text, translating voice recordings and creating images. People professionals have found uses for their work too. For example, to draft and refine common documents like job descriptions, company policy and so on. 4. AI has the potential to enhance diversity and inclusion in the workplace by reducing biases in the hiring process. You answered true. This is correct. For example, a well-designed AI-powered tool can accurately process thousands of job applications and include candidates from underrepresented backgrounds in shortlists. You can also use generative AI to check that job listings are free from any biased language, anonymise applicant information and help sort candidates by those who match the qualifications and skills criteria. However, caution is needed as it depends on the data and program used to filter candidates. Amazon famously scrapped its AI recruitment tool which showed bias against women, but others such as RetailCo have found no evidence of bias. AI models and data will need to be reviewed and fixed if biases are apparent. 5. Ethical considerations are not essential when implementing AI in the workplace, as long as it improves efficiency and productivity. You answered false. This is correct. Ethical considerations are essential when implementing AI in the workplace as organisations must comply with local laws and regulations, especially regarding data protection, discrimination and employee rights. People professionals should also consider the impact on their people and ensure there are mitigations in place to ensure that AI algorithms and models are designed in a fair and impartial way. Having a specific generative AI policy will provide clarity on what employees can and can’t use these tools for at work. 6. AI powered chatbots can be used to answer employee queries. You answered true. This is correct. Using AI powered chatbots to answer common employee questions such as annual leave entitlements and other policy queries can free up people professionals’ time to work on other priorities. There will always be a need for human interaction for certain queries and it is down to individual HR teams to decide whether there are employee queries that are worth delegating to chatbots and the best way to implement them. 7. There’s no place for AI in employee engagement strategies. You answered false. This is correct. Some AI-embedded solutions can support employee engagement strategies, for example by analysing employee sentiment from open text feedback, providing insights that would take much longer to analyse manually. For example, Equiniti found that their teams that are using AI-recommended action plans for employee engagement are seeing five times better results than those attempting to do their own. AI tools are not a complete replacement for human involvement in employee engagement but they can speed up some processes and gain insights that may have previously been left uncovered due to time restraints. 8. AI can enhance employee learning and development. You answered true. This is correct. For example, AI-embedded learning experience platforms can give employees personalised learning recommendations and identify their skill gaps. For example, Etisalat implemented an AI-embedded learning platform to provide a personalised learning solution for its employees. The secure platform includes features such as tailored course recommendations and the generated learning transcripts. 9. AI can support an organisation’s retention strategy by predicting attrition. You answered true. This is correct. There are ways that AI may be able to support an organisation’s retention strategy. For example, the AI-embedded employee engagement platform Equiniti uses employee survey feedback and enables them to predict who's thinking of leaving the organisation, sometimes even before the individual realises it. This means managers can take action to identify and address concerns within their teams and provide more support where needed. However, an overreliance on technology to spot attrition could come with risks, such as changing a manager’s attitude towards their team. While AI-embedded technology solutions can make suggestions, it’s important for people professionals to encourage open dialogue between line managers and their team members. 10. AI in the workplace always leads to job losses. You answered false. This is correct. AI in the workplace doesn’t always lead to job losses and the impact on employment will vary by industry and role. In some cases, organisations may need to support people to upskill or redeploy into new roles (some of which could including training AI programmes or teaching others how to use them). Generative AI tools can speed up certain tasks which may change the skills people need, eg fact checking and critical thinking. People professionals have a role to play in understanding how AI might impact their organisation and its employees and providing suitable opportunities to upskill or reskill where possible.