This video was recorded at Code Mesh LDN 18 http://bit.ly/2P7SPII Get involved in Code Sync's next conference http://bit.ly/2Mcm4aS --- *KEYNOTE* ETHICS AND AI: IDENTIFYING AND PREVENTING BIAS IN PREDICTIVE MODELS by Federica Pelzel THIS TALK IN THREE WORDS: Ethics Predictive Machine learning ABSTRACT As we explore more sophisticated ways to make smarter, more accurate decisions, the use of data and predictive models has been at the forefront of innovation. But what happens when our use of data, and modeling, inadvertently hurts those who need the most protection? In this session we'll explore how bias and discrimination is introduced into models, and different strategies to prevent it from happening to you. Read the full abstract: http://codesync.global/speaker/federica-pelzel/ --- THE KEYNOTER - FEDERICA PELZEL Public sector technologist, Director of Data and Analytics Platforms at Mastercard Federica is a technologist focusing on the public sector. Over the last decade she has worked with governments from around the world to find innovative ways to solve their problems through the use of data and technology. After serving as chief of staff for the City of Buenos Aires' digital government team, she relocated to NYC where she has worked with countless governments and public institutions; from the white house and the world bank, to Sierra Leone. She's currently working at Mastercard, as a Director of Data and analytics platforms, focusing on public sector. More on Federica Pelzel: http://codesync.global/speaker/federica-pelzel/ --- CODE SYNC & CODE MESH LDN 18 Code Mesh LDN is powered by Code Sync. Code Mesh LDN 18 was sponsored by WhatsApp, Toyota Connected, Erlang Solutions, TEAMango, and aeternity. CODE SYNC Website: www.codesync.global Twitter: www.twitter.com/CodeMeshIO Facebook: https://www.facebook.com/CodeSyncGlobal LinkedIn: https://www.linkedin.com/company/code-sync/ Mail: info at codesync.global #CodeMesh #Ethics #AI #Bias #PredictiveModels #Keynote