Conversations on Governing AI with Randstad & Dataiku - ERP Spain.com - España y América Latina

Episode One: Should Data Scientists decide what’s good AI practice alone? There are many obstacles for Data Scientists in effectively governing the use of AI. Firstly, overcoming the bias inherent in historical data. Secondly, agreeing on the boundaries of governing AI with the business and thirdly, and perhaps most importantly, ensuring the adoption of good AI practices across the organisation. Join us for the first episode of this three-part series on Governing AI in which David Graus, Helen Hulsker, and Triveni Gandhi will address the obstacles to effective governance of AI, how to orchestrate efforts with internal stakeholders to overcome these, and what the effects will be of the new EU AI Act in this domain. David, Lead Data Scientist, and Helen, Senior Lawyer International Legal Counsel both work at Randstad, a well-known Dutch multinational human resource consulting firm. They will set the stage around implementing AI in a high-risk domain from a technical/practical and jurisdictional perspective. The webinar will be hosted by Triveni Gandhi, Dataiku’s Senior Industry Data Scientist specialising in Governing AI. Speaker Bios: David Graus is lead data scientist at Randstad Groep Nederland, where he heads the data science chapter with over a dozen data scientists who work on a wide variety of projects including recommender systems, information extraction from resume and vacancy data, and knowledge graphs. He obtained his PhD in Information Retrieval in 2017 at the University of Amsterdam. Helen Hulsker TBC