DiscoverTA DisruptorsWhy the team behind the Civil Service Fast Stream are cautiously optimistic about an AI-enabled world –– balancing efficiency and ethics, redesigning assessment, and building algorithms
Why the team behind the Civil Service Fast Stream are cautiously optimistic about an AI-enabled world –– balancing efficiency and ethics, redesigning assessment, and building algorithms

Why the team behind the Civil Service Fast Stream are cautiously optimistic about an AI-enabled world –– balancing efficiency and ethics, redesigning assessment, and building algorithms

Update: 2023-11-23
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The Director of Government Skills at the Cabinet Office, Sonia Pawson IS currently spearheading a team of 250 talent professionals responsible for delivering some of the most highly regarded graduate programmes in the UK, including the Civil Service Fast Stream.   


As a chartered occupational psychologist, Sonia is one of a rare breed able to balance being an academic and a practitioner to deliver outstanding results. In fact, Sonia and her team are already approaching AI with cautious optimism, redesigning their selection process to embrace Generative AI while still capturing an accurate picture of a candidate’s true potential...


For episode three of the TA Disruptors podcast, you'll discover…


  • How and where her team are embracing and integrating AI into the selection process, and how they’re balancing improving efficiency with maintaining high ethical standards, and predictability


  • How they brought together analysts, data scientists, and psychologists to experiment with a new algorithm to reduce their internal mobility process by 10 working days, how they use ‘sandboxes’ to safely test new ideas –– from chatbots to algorithms –– in a controlled environment, and how they make sure these new AI tools are fair and bias-free together 


  • Details into the analysis that Sonia’s team did to conclude that the CV is not as predictive as an assessment, why the age of ChatGPT means the CV is now well and truly unreliable and outdated. Plus, Sonia shares how the civil service are moving away from traditional language-based psychometric tests, towards an assessment that is task-based and interactive to measure behaviours in a way that is truly accurate and predictive.


  • The data points that show that candidate use of Generative AI is here, and why now it’s time for TA leaders to tackle usage head-on. Robert and Sonia pose the question… can you really afford to wait to do the same? 



Download the report on the impact of Generative AI on recruitment and why it will make traditional selection processes redundant:

https://hubs.li/Q0282Gbq0


Sign up for our newsletter - it's the easiest way to be updated with the industry’s brightest ideas and the freshest need-to-know data:

https://hubs.li/Q0282H370 


Follow us on Linkedin:

https://hubs.li/Q0282J5c0


Connect with Robert on LinkedIn:

https://hubs.li/Q0282KjJ0  


Connect with Sonia on LinkedIn:

https://hubs.li/Q029NTF50

________________________


Talent acquisition is changing faster than it ever has before. ChatGPT and other GenAI tools are literally turning the selection process on its head. This podcast is designed for disruptive Talent Acquisition leaders who want to get ahead. For the innovators, the movers and shakers, and the TA leaders who will survive and thrive in this new era by moving quickly to future-proof their recruitment processes. Even when you’re feeling overworked and overwhelmed, we’ll help you keep up with the latest ideas from the industry’s brightest innovators and the freshest need-to-know data from new research. TA Disruptors has got you covered. 


All brought to you from the team behind Arctic Shores.



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Why the team behind the Civil Service Fast Stream are cautiously optimistic about an AI-enabled world –– balancing efficiency and ethics, redesigning assessment, and building algorithms

Why the team behind the Civil Service Fast Stream are cautiously optimistic about an AI-enabled world –– balancing efficiency and ethics, redesigning assessment, and building algorithms