Making AI Responsible and Ethical


As AI adoption grows, it is becoming important that all AI driven products can demonstrate they are not introducing any bias to the AI-based decisions they are making, as well as reducing any pre-existing bias or discrimination. The responsibility to ensure that the AI models are ethical and make responsible decisions does not lie with the data scientists alone. The product owners and the business analysts are as important in ensuring bias-free AI as the data scientists on the team. This book addresses the part that these roles play in building a fair, explainable and accountable model, along with ensuring model and data privacy. The talk covers the fundamentals for the topic and then goes deep into the subject matter – providing the details that enable the business analysts and the data scientists to implement these fundamentals. AI research is one of the most active and growing areas of computer science and statistics. This talk includes an overview of the many techniques that draw from the research or are created by combining different research outputs.


Sray Agarwal has applied AI and analytics from Financial Services to Hospitality and has led the development of Responsible AI framework for multiple banks in the UK and the US. after completing his Data scientist with merit (dean's list) he joined ecommerce company to spearhead their AI initiatives. Based out of London, his is conversant in Predictive Modelling, Forecasting and advanced Machine Learning with profound knowledge of algorithms and advanced statistic, Sray is a Principal Consultant in the Fractal. He is an active blogger and has given his talks on Ethical AI at major AI conferences across the globe (more than 20) and has podcasts, video interviews and lectures on reputed websites and social media at UN, Microsoft, ODSC to name a few. His contribution to the development of the technology was recognised by Microsoft when he won the Most Valued Professional in AI award in 2020 and 2021. He is also an expert for United Nations (UNCEFACT) and have recently authored a book on Responsible AI published by Springer. He has been a trainer with leading consulting firms and have delivered training on business transformation using AI. He has worked with NUS, ISB and Jio institute.

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Consent to display content from - Youtube
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google