Chances are good that your organization uses algorithms or artificial intelligence to help make business decisions — and that regulatory efforts targeting these automated decision-making systems, including their potential to produce unintended bias, have caught your attention. In this episode of the Faegre Drinker on Law and Technology Podcast, host Jason G. Weiss sits down with Bennett Borden, Faegre Drinker’s chief data scientist and co-founder of the firm’s artificial intelligence and algorithmic decision-making (AI-X) team, to discuss algorithmic bias and what companies should know about the latest regulatory developments.
The conversation tackles a number of questions, including:
- What, exactly, is an algorithm? What’s the difference between an algorithm and artificial intelligence?
- What is algorithmic bias? Why are regulators taking an interest in companies’ use of automated decision-making systems?
- What proactive steps can companies take to stay ahead of new regulatory developments surrounding automated decision-making and algorithmic bias?
