---
id: "aiethics:lecture/algorithmic-bias-and-relativity-in-AI"
type: "AI Ethics course lecture"
title: "Algorithmic Bias and Relativity in AI"
url: "https://aiethicscourse.org/lectures/algorithmic-bias-and-relativity-in-ai"
authors: ["Ken Ito"]
summary: "This module discusses one of the most pressing ethical concerns pertaining to AI: algorithmic bias. It also investigates the fundamental \"relativity\" of AI by focusing on various examples from two specific specialties – music and physics."
source: "AI Ethics: Global Perspectives (aiethicscourse.org)"
licence: "Creative Commons Attribution-ShareAlike 4.0 International (http://creativecommons.org/licenses/by-sa/4.0/)"
---

# Algorithmic Bias and Relativity in AI

A lecture of the course [AI Ethics: Global Perspectives](https://aiethicscourse.org/).

## Lecturer

- Ken Ito, Professor of Music, Brain Cognitive Information Philosophy and Ethics at the University of Tokyo, University of Tokyo

## About this lecture

This module discusses one of the most pressing ethical concerns pertaining to AI: algorithmic bias. Professor Ken Ito investigates the fundamental "relativity" of AI by focusing on various examples from two specific specialties – music and physics. He proposes several possible countermeasures, drawing from several real-world examples such as: Zen Buddhism; Kyu-Do (ancient Japanese archery); productions from artists such as John Cage or the New York Merce Cunningham Dance Company; Principles of Uncertainty in both Quantum Physics and AI.

## Video and transcript

- Video: [https://www.youtube.com/watch?v=RyGChmPQKy4](https://www.youtube.com/watch?v=RyGChmPQKy4)
- Transcript (PDF): [https://aiethicscourse.org/img/5e05c2a3-eb5b-44cf-a535-ecc218d4df5f.pdf](https://aiethicscourse.org/img/5e05c2a3-eb5b-44cf-a535-ecc218d4df5f.pdf)