Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY

Law, Ethics, & Open Data conference sessions

Open data and heightened privacy concerns mean new, and often controversial, thinking on governance, ethics, and compliance, as well as a renegotiation of the pact we make with a life lived in public.

Wednesday, September 30

11:20am–12:00pm Wednesday, 09/30/2015
Location: 3D 04/09 Level: Non-technical
Evan Selinger (Rochester Institute of Technology), Jules Polonetsky (Future of Privacy Forum)
Average rating: ***..
(3.75, 4 ratings)
Ethical concerns about the use of personal information in new ways has led to calls for the creation of consumer subject review boards, which could evaluate, approve, or monitor out-of-context uses of information absent user consent. This conversation between a philosopher and lawyer will address how organizations can use existing ethical frameworks to create practical accountability mechanisms. Read more.
1:15pm–1:55pm Wednesday, 09/30/2015
Location: 3D 04/09 Level: Intermediate
Jake Porway (DataKind), Cathy O'Neil (Weapons of Math Destruction), Vladimir Dubovskiy (DonorsChoose.org), Kamalesh Rao (DataKind)
Average rating: *****
(5.00, 2 ratings)
No matter how good the intentions, ethical questions are inherent in the work of using data for social good. How are organizations navigating ethical pitfalls in order to make an impact? The key is protecting the humanity behind the numbers. In this series of talks, we'll learn how organizations are dealing with ethical considerations inherent in projects that aim to use data for good. Read more.
2:05pm–2:45pm Wednesday, 09/30/2015
Location: 3D 04/09 Level: Intermediate
Jake Porway (DataKind), Bob Filbin (Crisis Text Line), danah boyd (Microsoft Research | Data & Society)
Average rating: *****
(5.00, 4 ratings)
No matter how good the intentions, ethical questions are inherent in the work of using data for social good. How are organizations navigating ethical pitfalls in order to make an impact? The key is protecting the humanity behind the numbers. In this series of talks, we'll hear from four speakers on how they are dealing with ethical considerations inherent in projects that aim to use data for good. Read more.
2:55pm–3:35pm Wednesday, 09/30/2015
Location: 3D 04/09 Level: Non-technical
Mike Lee Williams (Cloudera Fast Forward Labs)
Average rating: ****.
(4.85, 13 ratings)
Because of the way sentiment analysis algorithms are trained, they systematically amplify the voices of those who express themselves unsubtly and aggressively. I will extrapolate from this observation to show the ways in which supervised machine learning has the potential to amplify social and economic privilege. Read more.
4:35pm–5:15pm Wednesday, 09/30/2015
Location: 3D 04/09 Level: Non-technical
Jay Margalus (MapR), Mike Emerick (MapR)
Average rating: ****.
(4.67, 6 ratings)
Who will watch the watchmen? This session will cover data integrity problems in open government introduced by the human element. We’ll then explore possible methodologies that will allow us to derive value from open government data, while still keeping a skeptical eye on the validity of the data itself. Read more.
5:25pm–6:05pm Wednesday, 09/30/2015
Location: 3D 04/09 Level: Non-technical
Steven Totman (Cloudera), Sam Heywood (Cloudera), Nick Curcuru (Mastercard)
Average rating: ***..
(3.83, 6 ratings)
Technology offers amazing big data use cases, but according to Gartner it's important to avoid "crossing the creepy line." Governance and security experts from Cloudera and MasterCard discuss the legal and ethical usage of big data. Ethical behavior drives trust - they are inseparably linked. For customers to trust and continue to do business with us requires an ethical data usage framework. Read more.