Responsible AI and Ethics and Beyond: A principled approach from Microsoft - Sonia Ang Visit https://rstats.ai/nyr/ to learn more. Abstract: Microsoft is championing how to bring change to society in the use and implementation of AI and its impact has been felt from a social–technological point of view. A stark reminder was when it launched the Twitter chatbot, Tay, who ended up with bigoted rhetoric, hence a realization to consider the human element when designing AI systems. Along with innovation comes a responsibility to make sure that the future is secured. We need to take a thoughtful approach to ensure we create a future we want to see and not one we fear. This presentation revolves around an ethical framework with five core principles of fairness, reliability, safety, privacy and security, underpinned with transparency and accountability. Bio: Sonia Ang has a long history of advanced analytics and information management experience at Microsoft, IBM, Deloitte and Touche, SAS, and People Medical Transport. She seeks to immerse and master Microsoft’s advanced analytics technologies to enable Microsoft clients to appreciate and get the best value they deserve from best-of-breed AI and advanced analytics technologies in Azure. Sonia joined Microsoft in December 2015 within the Global Black Belt Organization, as part of the Revolution R team. She was a dedicated Microsoft Technical Project Lead at Citibank for the implementation of Revolution R (now Machine Learning Server), which was one of its largest installations at that time. She continued her role as a TSP in the Finance Services, Data and AI team, and she led benchmarks and proof of concepts across finance mainstream customers, whom she successfully added as references, thus showcasing their use of cognitive services and bot technologies. Sonia Ang has been a Community Champion for the Machine Learning Community. Sonia is the curator of a monthly roundup of AI and ML industry news, which helps community members stay on top of important news. She is currently a Cloud Solution s Architect as part of a team that works for the largest SB500 Global Accounts of Microsoft like Unilever WPP, GSK and BP. Earlier in her career, she was an Executive Consulting IT Specialist at IBM, a senior consultant at Deloitte and Touche, an analytics solutions architect at SAS, and an advisor to C-level management at People Medical Transport. Sonia is a polyglot who has studied more than half a dozen languages and is fluent in four of them. She has co-authored a book entitled Drug Discovery Challenges: A Global Perspective, centering on Data Mining. Twitter: https://twitter.com/galleontrade Presented at the 2021 New York R Conference (September 10, 2021)