Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK

Schedule: Law and Ethics sessions

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11:1511:55 Wednesday, 1 May 2019
Location: Capital Suite 4
Secondary topics:  Ethics, Security and Privacy
Sundeep Reddy Mallu (Gramener)
Average rating: *****
(5.00, 1 rating)
Answering the simple question of what rights Indian citizens have over their data is a nightmare. The rollout of India Stack technology-based solutions has added fuel to fire. Sundeep Reddy Mallu explains, with on-the-ground examples, how businesses and citizens in India's booming digital economy are navigating the India Stack ecosystem while dealing with data privacy, security, and ethics. Read more.
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12:0512:45 Wednesday, 1 May 2019
Location: Capital Suite 10/11
Secondary topics:  AI and machine learning in the enterprise, Ethics
Laila Paszti (GTC Law Group PC & Affiliates)
As companies commercialize novel applications of AI in areas such as finance, hiring, and public policy, there's concern that these automated decision-making systems may unconsciously duplicate social biases, with unintended societal consequences. Laila Paszti shares practical advice for companies to counteract such prejudices through a legal- and ethics-based approach to innovation. Read more.
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14:0514:45 Wednesday, 1 May 2019
Location: Capital Suite 10/11
Secondary topics:  AI and machine learning in the enterprise, Ethics
Duncan Ross (Times Higher Education), Francine Bennett (Mastodon C)
Average rating: *****
(5.00, 4 ratings)
Being good is hard. Being evil is fun and gets you paid more. Once more Duncan Ross and Francine Bennett explore how to do high-impact evil with data and analysis (and possibly AI). Make the maximum (negative) impact on your friends, your business, and the world—or use this talk to avoid ethical dilemmas, develop ways to deal responsibly with data, or even do good. But that would be perverse. Read more.
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14:5515:35 Wednesday, 1 May 2019
Location: Capital Suite 10/11
Secondary topics:  Data Platforms, Transportation and Logistics, Visualization, Design, and UX
Average rating: ****.
(4.00, 2 ratings)
Shailesh Chauhan explains how Uber built its business intelligence platform, detailing why the company took a platform approach rather than adding features in a piecemeal fashion. Read more.
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17:2518:05 Wednesday, 1 May 2019
Location: Capital Suite 12
Secondary topics:  Ethics
Duncan Ross (Times Higher Education), giselle cory (DataKind UK)
Average rating: ****.
(4.00, 1 rating)
DataKind UK has been working in data for good since 2013, helping over 100 UK charities to do data science for the benefit of their users. Some of those projects have delivered above and beyond expectations; others haven't. Duncan Ross and Giselle Cory explain how to identify the right data for good projects and how this can act as a framework for avoiding the same problems across industry. Read more.