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Invite colleaguesBuilding a high-performing data ethics programme from the ground up
Abstract
Companies are presented with increasingly complex legal, ethical and operational challenges when implementing algorithmic data processing to detect security threats or generate business insights. In this paper we will share leading practices on how to navigate the compliance landscape, build and maintain an ethics-by-design programme for data and technology, leverage existing frameworks and manage stakeholders. We will also introduce emerging technical concepts from the privacy and security domains and provide a perspective of how these technical concepts may be introduced into the governance process for organisations.
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Author's Biography
Alexandra Ross is Senior Director, Senior Data Protection, Use & Ethics Counsel at Autodesk, Inc. where she provides legal, strategic and governance support for Autodesk’s global privacy, security, data use and ethics programmes. She is also an adviser to BreachRx and an Innovators Evangelist for The Rise of Privacy Tech (TROPT). Previously she was Senior Counsel at Paragon Legal and Associate General Counsel for Wal-Mart Stores. She is a certified information privacy professional (CIPP/US, CIPP/E, CIPM, CIPT, FIP and PLS) and a frequent speaker at privacy and security conferences. She holds a law degree from Hastings College of Law and a BS in theatre from Northwestern University. Alexandra is a recipient of the 2019 Bay Area Corporate Counsel Award — Privacy. Alexandra launched The Privacy Guru blog in 2014 and has published an ebook Privacy for Humans (available on Amazon and iTunes).
Ilana Golbin is a Director — Emerging Technology & AI, Global Responsible AI Leader in PwC Labs, where she serves as one of the leads for artificial intelligence. Ilana specialises in applying machine learning and simulation modelling. She is listed as one of 100 ‘Brilliant Women in AI Ethics’ in 2020, was recently recognised in Forbes as one of 15 leaders advancing ethical AI and is an active contributor to working groups and standards efforts for AI governance. Since 2018, she has led PwC’s efforts globally in the development of cutting-edge approaches to build and deploy responsible AI.
Bret S. Cohen Bret Cohen helps technology and brick-and-mortar businesses comply with privacy, cyber security, Internet and consumer protection laws. He also represents companies in litigation and government investigations in these areas. As a lawyer and technologist, Bret has a knack for translating legal standards into practical technical requirements that are easy for clients to use. With a particular focus on the Internet and e-commerce, Bret has advised extensively on legal issues related to cloud computing, social media, mobile applications, online tracking, and analytics and software development. He counsels and is a frequent speaker on strategic compliance with global privacy laws, including cross-border transfer restrictions, data localisation requirements and the impact of government surveillance on the digital economy. Bret also spearheads efforts on cyber security incident preparedness and response, student privacy, marketing privacy and workplace privacy. With the global privacy landscape rapidly changing, Bret stays plugged into policymaking developments worldwide to help companies focus on both the legal requirements of today and the likely obligations of the future. He writes regularly on these developments, including for the Hogan Lovells Chronicle of Data Protection blog, for which he serves as the Managing Editor. Bret also strongly believes that privacy is not a zero-sum proposition and advises companies on how adopting privacy-enhancing policies and technologies can benefit business and enhance customer engagement in the long run. During law school, Bret was an articles editor for The George Washington Law Review and was awarded the Laurence E. Seibel Memorial Award for Excellence in Labor and Employment Law. He graduated with honours from the University of Maryland with dual degrees in computer science and business information systems.