Nancy Nemes is a seasoned AI expert with 20 years of hand-on experience in implementing frameworks as a leader at Microsoft and Google. She is the founder of HumanAIze, an organization that aims to make AI more inclusive. If you are looking for some practical advice on how to implement responsible AI at the moment, then look no more – In this episode you will learn about all the necessary steps to perform ethical AI.
  • What are the most important ethical AI best practices
  • What does the regulation aspect mean for the financial sector?
  • What kind of skills are necessary to adapt to this AI-driven environment?
  • How to identify the right metrics for understanding privacy and fairness when developing AI systems?
  • Which kind of privacy enhancing technologies should you implement?
  • Who are the experts that you should gather? 
Subscribe to the Data Democratization Podcast on SpotifyApple Podcast or wherever you get your shows! Listen to the previous episode and read the transcript about Data ethics best practices from Nicolas Passadelis, Head of Data Governance at Swisscom.