Artificial Intelligence for Social Good
Not on the map. Why?
Abstract (arXiv)
The Computing Community Consortium (CCC), along with the White House Office of Science and Technology Policy (OSTP), and the Association for the Advancement of Artificial Intelligence (AAAI), co-sponsored a public workshop on Artificial Intelligence for Social Good on June 7th, 2016 in Washington, DC. This was one of five workshops that OSTP co-sponsored and held around the country to spur public dialogue on artificial intelligence, machine learning, and to identify challenges and opportunities related to AI. In the AI for Social Good workshop, the successful deployments and the potential use of AI in various topics that are essential for social good were discussed, including but not limited to urban computing, health, environmental sustainability, and public welfare. This report highlights each of these as well as a number of crosscutting issues.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Jan 2019.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 3; 2022: 1; 2023: 1; 2024: 2; 2025: 1.
8 papers.
- 2021Trustworthy AI: From Principles to Practicescited by 206
- 2024The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?cited by 20
- 2023Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Goodcited by 6
- 2021The Arc of the Data Scientific Universecited by 2
- 2022Tackling Asymmetric and Circular Sequential Social Dilemmas with Reinforcement Learning and Graph-based Tit-for-Tatcited by 1
- 2024PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimizationcited by 1
- 2021Classification, Slippage, Failure and Discoverycited by 0
- 2025Large Language Models for Sentiment Analysis to Detect Social Challenges: A Use Case with South African Languagescited by 0
- 2025Large Language Models for Sentiment Analysis to Detect Social Challenges: A Use Case with South African Languages21 Nov 2025
- 2024PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization12 Jul 2024
- 2024The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?4 Jan 2024
- 2023Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good9 May 2023
- 2022Tackling Asymmetric and Circular Sequential Social Dilemmas with Reinforcement Learning and Graph-based Tit-for-Tat26 Jun 2022
- 2021Trustworthy AI: From Principles to Practices4 Oct 2021
- 2021Classification, Slippage, Failure and Discovery8 Apr 2021
- 2021The Arc of the Data Scientific Universe6 Feb 2021