How people professionals can develop, deploy and use AI in an ethical, legal and sustainable way
This guide outlines five steps people professionals can take to become a strategic partner in responsible AI governance.
A look at how the use of algorithmic writing assistance for résumés impacts job hires
In an experiment run on an online labour market, job applicants who received algorithmic writing assistance on résumés were hired 8% more often than those who didn’t. The research found no evidence that such assistance might deceive employers into hiring less qualified applicants.
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Emma's research is primarily focused on the impact of AI on labour markets and using online labour markets as a platform for experimentation and policy evaluation.
Previously she was a researcher at the University of Washington Evans School of Public Policy and Governance, analysing the effects of the first $15 minimum wage in the US. Her research has appeared in top economics journals as well as in media outlets such as Yahoo News, Market Watch, and The Economist.
This guide outlines five steps people professionals can take to become a strategic partner in responsible AI governance.
Guidance on the frameworks for implementing AI responsibly, produced with the British Standards Institution (BSI).
Discover how the CIPD and the Institute for the Future of Work are supporting organisations in understanding how to take a people-centred approach to integrate AI-enabled solutions effectively and responsibly at work
Leading Voices is a series of short audio essays in which senior people professionals reflect on how they have tackled some of the profession's most pressing challenges.
Katie Stickland, CIPD Knowledge Exchange Manager, reviews research that examines how HR departments have utilised digital technology such as AI and analytics
What are the barriers to the adoption of generative AI tools at work and how can they be overcome?
An exploration of how generative AI tools like ChatGPT can be used effectively to support human resource management
Research investigates what factors influence employees’ responses to electronic performance monitoring