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Ethics & Social Responsibility Stage [clear filter]
Friday, January 25


Compère Welcome - Ethics & Social Responsibility Stage
avatar for Fiona McEvoy, YouTheData.com

Fiona McEvoy, YouTheData.com

Tech Ethics Researcher and Founder, YouTheData.com
Fiona J McEvoy holds a graduate degree in Philosophy, with a special focus on ethics and technology. She recently presented her work to the International Association for Computing and Philosophy (IACAP) at Stanford University, and her latest paper on Big Data and the future of autonomy... Read More →

Friday January 25, 2019 9:00am - 9:10am
Pacific I-K Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA


Three Principles for the Responsible Use of AI
Cutting edge machine learning and AI technologies make increasingly consequential decisions, leading regulators, journalists, and the public to demand that they be built responsibly and ethically while protecting security and privacy. AI technologies undercut traditional data governance and compliance approaches, even as businesses that field data driven systems of all sorts - from the simplest descriptive analytics to the most sophisticated deep learning models - face a thicket of requirements and stakeholder demands. This workshop presents three actionable principles for building AI responsibly. These principles provide practical approaches to building AI systems that embody the right values, such as responsibility, fairness, ethics, and privacy, while still meeting their business goals and product requirements.

avatar for Joshua Kroll, UC Berkeley School of Information

Joshua Kroll, UC Berkeley School of Information

Postdoctoral Research Scholar & Computer Scientist, UC Berkeley School of Information
Joshua A. Kroll, PhD, is a computer scientist and leading expertrecognized internationally for his work on responsibility andaccountability in computer systems, especially automateddecision-making systems and systems that use data science, machinelearning, and artificial intelligence... Read More →

Friday January 25, 2019 9:10am - 9:40am
Pacific I-K Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA


How AI Can Empower the Blind Community 
avatar for Anirudh Koul, Aira

Anirudh Koul, Aira

Head of AI & Research, Aira
Anirudh Koul is the Head of AI & Research at Aira (Visual interpreter for the blind), and upcoming author of 'Practical Deep Learning for Cloud and Mobile'. Previously at Microsoft AI & Research, he founded Seeing AI App - often considered the defacto app in the blind and low vision... Read More →

Friday January 25, 2019 9:40am - 10:10am
Pacific I-K Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA


Reimaging the News: How can AI/ML be used to assure open and credible news platforms? 
Join SignalFire Head of Communities, Michael Martin, and three industry experts to reimagine how platforms can use to AI/ML/Deep Learning to assure that information is credible while remaining open. During this workshop you will have the opportunity to work closely in small groups with other attendees to develop bluesky solutions to one of the most pervasive challenges facing democratic societies.

avatar for Mike Tamir, Uber ATG

Mike Tamir, Uber ATG

Head of Data Science, Uber ATG
Mike serves as Head of Data Science at Uber ATG, UC Berkeley Data Science faculty, and Director of Phronesis ML Labs. He has led teams of Data Scientists in the bay area as Chief Data Scientist for InterTrust and Takt, Director of Data Sciences for MetaScale/Sears, and CSO for Galvanize... Read More →
avatar for Ilya Kirnos, Signalfire

Ilya Kirnos, Signalfire

Managing Director & CTO, Signalfire
Prior to co-founding SignalFire, Ilya was a Software Engineer at Google (2004-2012). During his time at Google, Ilya held several technical leadership positions. He was a Technical Lead for Gmail Ads and was responsible for predicting consumer purchase intent and consumer Gmail monetization... Read More →
avatar for Michael Martin, Signalfire

Michael Martin, Signalfire

Director of Communities, Signalfire
Michael is the Director of Communities at SignalFire, an AI-driven VC firm that focuses on seed and growth-stage investments. He joined the firm in 2018, where he is building the firm’s communities programs, which includes developing content and events that provide value to portfolio... Read More →

Friday January 25, 2019 10:45am - 12:15pm
Pacific I-K Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA


Understanding the limitations of AI: When Algorithms Fail
Automated decision making tools are currently used in high stakes scenarios. From natural language processing tools used to automatically determine one’s suitability for a job, to health diagnostic systems trained to determine a patient’s outcome, machine learning models are used to make decisions that can have serious consequences on people’s lives. In spite of the consequential nature of these use cases, vendors of such models are not required to perform specific tests showing the suitability of their models for a given task. Nor are they required to provide documentation describing the characteristics of their models, or disclose the results of algorithmic audits to ensure that certain groups are not unfairly treated. I will show some examples to examine the dire consequences of basing decisions entirely on machine learning based systems, and discuss recent work on auditing and exposing the gender and skin tone bias found in commercial gender classification systems. I will end with the concept of an AI datasheet to standardize information for datasets and pre-trained models, in order to push the field as a whole towards transparency and accountability.

avatar for Timnit Gebru, Ethical AI Team at Google

Timnit Gebru, Ethical AI Team at Google

Research Scientist, Ethical AI Team,Google
Timnit Gebru is a research scientist in the Ethical AI team at Google and just finished her postdoc in the Fairness Accountability Transparency and Ethics (FATE) group at Microsoft Research, New York. Prior to that, she was a PhD student in the Stanford Artificial Intelligence Laboratory... Read More →

Friday January 25, 2019 1:00pm - 1:30pm
Pacific I-K Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA


Panel: Ethical AI - Harnessing Automation for a Just World
With the inevitable proliferation of AI-based automation, ethical considerations become of paramount importance. How do we ensure that AI-powered technologies do not propagate unfair biases in a fully automated way? In this session, panelists will discuss potential pitfalls of automation, processes that businesses should implement to avoid these pitfalls, definitions of fairness, and the incredible opportunity we have as a society, to instill fairness as a first class construct into the systems we build.

avatar for Shubha Nabar, Salesforce Einstein

Shubha Nabar, Salesforce Einstein

Senior Director of Data Science, Salesforce Einstein
Shubha Nabar is a Senior Director of Data Science at Salesforce Einstein where she and her team make machine learning technologies accessible to the hundreds of thousands of businesses that use Salesforce every day. In 2017, she was featured as one of 20 Incredible Women Advancing... Read More →
avatar for Anna Bethke, Intel

Anna Bethke, Intel

Head of AI for Social Good, Intel
Anna Bethke is the Head of AI for Social Good of Intel's Artificial Intelligence Products Group where she is establishing partnerships with social impact organizations; enabling their missions with Intel's technologies and AI expertise. She is also actively involved in the AI Ethics... Read More →
avatar for Chandra Khatri, Uber AI Labs

Chandra Khatri, Uber AI Labs

Senior AI Scientist, Uber AI Labs
Chandra Khatri is a Senior AI Scientist at Uber AI driving Conversational AI efforts at Uber. Prior to Uber, he was the Lead AI Scientist at Alexa and was driving the Science for the Alexa Prize Competition, which is a $3.5 Million university competition for advancing the state of... Read More →
avatar for Londa Schiebinger, Stanford University

Londa Schiebinger, Stanford University

Professor of History of Science, Stanford University
Londa Schiebinger is the John L. Hinds Professor of History of Science at Stanford University and directs the EU/US Gendered Innovations in Science, Health & Medicine, Engineering, and Environment project. She is a leading international expert on gender in science and technology and... Read More →

Friday January 25, 2019 1:30pm - 2:10pm
Pacific I-K Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA


Extended Q&A: Practical Next Steps Towards Ethical AI
A 'town-hall' session format where attendees will have the opportunity to ask experts their questions and practical concerns, and to offer some key takeaways and best practice for attendees to apply in their own work.

avatar for Ali Shah, BBC

Ali Shah, BBC

BBC Head of Emerging Technology and Strategic Direction, BBC
Ali helps the BBC make sense of the technologies and trends that will shape society and impact the BBC. He has a particular focus on AI, and is leading on the development of the BBC's AI capability - ensuring AI services developed by the BBC are done so under an ethical framework... Read More →
avatar for Deborah Harrison, Microsoft

Deborah Harrison, Microsoft

Senior Conversational UI Design Manager, Microsoft
Deborah Harrison (writer, Microsoft) is one of the original architects of the personality for Microsoft's digital assistant, Cortana. She crafted the core principles that define Cortana's approach to communication and now helps shepherd those principles as Cortana lights up on other... Read More →
avatar for Ben Roome, Ethical Resolve

Ben Roome, Ethical Resolve

Founder & Artificial Intelligence Ethicist, Ethical Resolve
As a data ethicist and responsible AI consultant at Ethical Resolve, Ben focuses on responsible AI strategy, quantitative and qualitative analysis and the future of technology. Ben is also the founder of an ed tech start up called Badge List. In this role Ben faces many of the same... Read More →
avatar for David Gunkel, Northern Illinois University

David Gunkel, Northern Illinois University

Distinguished Teaching Professor, Northern Illinois University
David J. Gunkel is an award-winning educator and scholar, specializing in the ethics of new and emerging technology. He is the author of over 70 scholarly articles and has published nine books, including Thinking Otherwise: Philosophy, Communication, Technology (Purdue University... Read More →

Friday January 25, 2019 2:10pm - 3:00pm
Pacific I-K Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA