Data Science Conversations

This show features engaging discussions with leading academics engaged in groundbreaking work with the potential for tangible impact in the real world.

This podcast aims to bridge the gap between the latest research in Data Science and AI and its application in the industry, providing listeners with the opportunity to broaden their understanding and advance their careers.

Algorithmic decision making in the hiring process - what does that mean for businesses and job seekers?The hiring process - the funnel effect.Lack of public disclosure about the use of algorithmic tools as part of the talent acquisition pipeline.Are job seekers being unfairly screened out of the hiring process?How AI based implementations of psychometric instruments are used today.Is it possible to measure a person’s personality based on data alone?Do these systems remove bias and discrimination from the hiring process?Testing the stability and consistency of these algorithmic systems.Vendors of systems and their lack of testing / recognising the issues.Are new laws needed so the hiring process is fairer and more transparent?What does the future of hiring look like - fewer AI systems and more human intervention?