Data science and the evolution of AI

In the fifth episode of PayU’s Fintech Alphabet, we explore the evolution of AI taking into consideration ethics, privacy, and the evaluation of risks.

What does it mean for AI to be “ethical”?  As the use of artificial intelligence becomes more prominent across a slew of everyday processes and applications, questions about ethics in AI decision-making have risen to the forefront of public discussion.


With AI models playing a growing role in loan applications, investments, and many other financial services, the ethics of AI are an especially important topic for the fintech sector.


In the latest Fintech Alphabet episode, our panel of AI leaders joins PayU CEO Laurent le Moal to explore the challenges of building better ethics into AI – when human ethics can so often be their own black box. Whose ethics are we talking about in AI, and how does this impact the experience of others? When it comes to training an algorithm to quickly decide an ‘objective’ outcome under different scenarios, how can we quantify and measure what is an ‘ethical’ decision to make?


Watch the full episode below for an interesting discussion on AI ethics, alongside insights on starting up and scaling the use of AI tools, as well as other topics of conversation:




Who’s on the panel?


  • Hemant Misra, Vice President and Head of Applied Research, Swiggy


  • Claire Gubian, Vice President & Global Head of Business Transformation, Dataiku