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Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ East Meeting Rooms 11 + 12
Joint Workshop on AI for Social Good
Fei Fang · Joseph Aylett-Bullock · Marc-Antoine Dilhac · Brian Green · natalie saltiel · Dhaval Adjodah · Jack Clark · Sean McGregor · Margaux Luck · Jonathan Penn · Tristan Sylvain · Geneviève Boucher · Sydney Swaine-Simon · Girmaw Abebe Tadesse · Myriam Côté · Anna Bethke · Yoshua Bengio

Workshop Home Page

The accelerating pace of intelligent systems research and real world deployment presents three clear challenges for producing "good" intelligent systems: (1) the research community lacks incentives and venues for results centered on social impact, (2) deployed systems often produce unintended negative consequences, and (3) there is little consensus for public policy that maximizes "good" social impacts, while minimizing the likelihood of harm. As a result, researchers often find themselves without a clear path to positive real world impact.

The Workshop on AI for Social Good addresses these challenges by bringing together machine learning researchers, social impact leaders, ethicists, and public policy leaders to present their ideas and applications for maximizing the social good. This workshop is a collaboration of three formerly separate lines of research (i.e., this is a "joint" workshop), including researchers in applications-driven AI research, applied ethics, and AI policy. Each of these research areas are unified into a 3-track framework promoting the exchange of ideas between the practitioners of each track.

We hope that this gathering of research talent will inspire the creation of new approaches and tools, provide for the development of intelligent systems benefiting all stakeholders, and converge on public policy mechanisms for encouraging these goals.

Opening remarks (Opening remaks)
Computational Sustainability: Computing for a Better World and a Sustainable Future (Invited Talk Track 1)
Translating AI Research into operational impact to achieve the Sustainable Development Goals (Invited Talk Track 1)
Sacred Waveforms: An Indigenous Perspective on the Ethics of Collecting and Usage of Spiritual Data for Machine Learning (Invited Talk Track 3)
Balancing Competing Objectives for Welfare-Aware Machine Learning with Imperfect Data (Contributed Talk Track 1)
Dilated LSTM with ranked units for Classification of suicide note (Contributed Talk Track 1)
Speech in Pixels: Automatic Detection of Offensive Memes for Moderation (Contributed Talk Track 1)
Towards better healthcare: What could and should be automated? (Contributed Talk Track 1)
All Tracks Poster Session (Poster Session)
Break / All Tracks Poster Session (Poster Session)
Towards a Social Good? Theories of Change in AI (Panel Discussion Track 3)
Hard Choices in AI Safety (Contributed Talk Track 2)
The Effects of Competition and Regulation on Error Inequality in Data-driven Markets (Contributed Talk Track 3)
Learning Fair Classifiers in Online Stochastic Setting (Contributed Talk Track 3)
Fraud detection in telephone conversations for financial services using linguistic features (Contributed Talk Track 2)
A Typology of AI Ethics Tools, Methods and Research to Translate Principles into Practices (Contributed Talk Track 2)
AI Ethics for Systemic Issues: A Structural Approach (Contributed Talk Track 3)
Lunch - on your own
ML system documentation for transparency and responsible AI development - a process and an artifact (Invited Talk Track 2)
Beyond Principles and Policy Proposals: A framework for the agile governance of AI (Invited Talk Track 2)
Untangling AI Ethics: Working Toward a Root Issue (Invited Talk Track 2)
AI in Healthcare: Working Towards Positive Clinical Impact (Invited Talk Track 2)
Implementing Responsible AI (Panel Discussion Track 2)
Break / All Tracks Poster Session (Poster Session)
"Good" isn't good enough (Contributed Talk Track 3)
Automated Quality Control for a Weather Sensor Network (Invited Talk Track 1)
AI and Sustainable Development (Panel Discussion Track 1)
Open announcement and Best Papers/Posters Award