Jeremie Clos

COMP3074: Human-AI Interaction

Teaching team

Core ideas of the module

Understanding the challenges of human-AI interaction from a sociological and technical perspective.

This module is part of the Human-Computer Interaction theme, and the Artificial Intelligence and Optimisation theme in the School of Computer Science. It is an introduction to the design of human-AI interaction to ensure the AI-driven systems we built are beneficial and useful to people. It covers practical design topics including methods and techniques such as natural language processing and human-robot interaction, but also considers societal and theoretical concerns of human-AI interaction, including the ethics of AI, responsible innovation, trust, accountability and explainable AI. The practical component of the module involves building AI-driven systems that drive conversational experiences, such as a text-based ‘chatbots’ and speech-controlled services, involving automatic speech recognition and natural language processing.

  1. https://web.stanford.edu/~jurafsky/slp3/
  2. https://fairmlbook.org/
  3. https://www.judgingmachines.com/
  4. https://parametric.press/issue-01/the-myth-of-the-impartial-machine/
  5. http://www.humanaiclass.org/schedule/
  6. http://ethics.fast.ai/
  7. https://uclanlp.github.io/CS269-Winter2020/
  8. http://demo.clab.cs.cmu.edu/ethical_nlp2020/

Other reading

  1. https://arstechnica.com/science/2020/03/speech-recognition-algorithms-may-also-have-racial-bias/
  2. https://www.theguardian.com/technology/2020/aug/19/facebook-funnelling-readers-towards-covid-misinformation-study
  3. https://philosophicaldisquisitions.blogspot.com/2020/08/80-bias-algorithms-and-criminal-justice.html
  4. https://www.nist.gov/topics/artificial-intelligence/ai-foundational-research-explainability
  5. https://www.bbc.co.uk/news/technology-53650758
  6. http://jessylin.com/2020/06/08/rethinking-human-ai-interaction/
  7. https://github.com/daviddao/awful-ai
  8. https://www.getrevue.co/profile/themarkup/issues/auditing-the-algorithms-of-disinformation-284735
  9. https://futurism.com/the-byte/activists-build-facial-recognition-id-cops-hide-badges
  10. https://arstechnica.com/science/2018/11/study-it-only-takes-a-few-seconds-for-bots-to-spread-misinformation/
  11. https://www.technologyreview.com/2020/12/04/1013068/algorithms-create-a-poverty-trap-lawyers-fight-back/