Raymond is a chapter lead with DataKind SG, an all volunteer group that provide probono data science help to the nonprofit community.He began his career as an researcher doing his PhD in mathematical biology at the Max Planck Institute for Mathematics in the Natural Sciences (Leipzig, Germany) and a postdoc in neuroscience at the Baylor College of Medicine (Houston, Texas) before being dragged into the depths of private enterprise. He has a strong affinity for grasshoppers especially deep fried and is always up for a post meetup session of beer and arthropod snacks.His current day job is Senior Data Scientist at Chope where he leads the data team.View the profile
Not a Data Scientist! Not a Developer! But with 25 yearsof IT experience managing Database Teams, BI Teams,GIS Teams, Information Teams he knows a thing or twoabout how these areas of expertise work and makeorganisations tick. Having worked in engineering,financial sector in London and the public sector at TheScience Museum in London and more recently withlocal councils Jeremy knows how IT and data work in alot of sectors.View the profile
About the talk
AI holds great promise to advance technology, increase efficiency and introduce revolutionary tools into our lives. However, AI and other data analytics systems have often been implemented without proper safeguards, and have exacerbated certain social ills. In recognition of the potential risks, the Personal Data Protection Commission (PDPC), a government agency, published “A Proposed Model AI Governance Framework” in January 2019. The Model Framework introduced some safeguards for the development and deployment of AI, and encouraged companies to adopt those safeguards in their internal governance. The PDPC called on the public to provide feedback, so as to improve upon the current proposed framework.Answering the call for feedback, DataKind SG in partnership with Effective Altruism SG have prepared a detailed paragraph-by-paragraph response to the model framework.
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