Brainstorm

In-class questions and exercises on how AI for social good research is written, reviewed and judged.

Question 1

How do you think papers on AI for social good are reviewed? See the calls for papers of:

  1. AAAI AI for Social Impact track
  2. IJCAI AI for Social Good track
  3. KDD Applied Data Science track

Question 2

Here are the AI for Social Impact (AISI) keywords from the AAAI call for papers. What kind of papers will these keywords attract?

  • AISI: Agriculture and Food
  • AISI: Climate
  • AISI: Computational Social Science and Humanities
  • AISI: Disaster Mitigation and Response
  • AISI: Education
  • AISI: Energy
  • AISI: Environmental Sustainability
  • AISI: Low and Middle-Income Countries / Underserved Communities
  • AISI: Mobility / Transportation
  • AISI: Natural Sciences
  • AISI: Philosophical and Ethical Issues
  • AISI: Public Health
  • AISI: Security and Privacy
  • AISI: Social Development
  • AISI: Social Networks and Social Media
  • AISI: Social Welfare, Justice, Fairness and Equality
  • AISI: Urban Planning
  • AISI: Other Social Impact

Exercise 3

Read the abstracts of some best paper award winners from the AI for social impact tracks of top conferences such as AAAI, IJCAI, KDD, NeurIPS and ICLR:

  1. ActiveRemediation: The Search for Lead Pipes in Flint, Michigan (YouTube), KDD 2018
  2. Developing Measures of Cognitive Impairment in the Real World (YouTube), KDD 2019
  3. DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling, AAAI 2024

Exercise 4

Read the abstracts of some papers from the AI for Social Impact track and score them on the AAAI AI for Social Impact criteria.