Information Technology Industry Council - List of Principles
Nov 03, 2021
[Graph Issues]
Summary
The Information Technology Industry Council has joined the conversation around children's rights with a focus on emerging technologies, publishing a list of principles to guide the ethical development of artificial intelligence (AI) systems. These include:?Responsible Design and Deployment: "Recognize potentials for use and misuse, the implications of such actions, and the responsibility and opportunity to take steps to avoid the reasonably predictable misuse of this technology by committing to ethics by design."?Robust and Representative Data: "Understand the parameters and characteristics of the data, to demonstrate the recognition of potentially harmful bias and to test for potential bias before and throughout the deployment of AI systems."?Interpretability: "Mitigate bias, inequity and other potential harms in automated decision-making systems." (UC Berkeley, 2019)Content
- Course Outline
- Course Newsletter
- Activity Centre
- -1. Getting Ready
- 1. Introduction
- 2. Applications of Learning Analytics
- 3. Ethical Issues in Learning Analytics
- 4. Ethical Codes
- 5. Approaches to Ethics
- 6. The Duty of Care
- 7. The Decisions We Make
- 8. Ethical Practices in Learning Analytics
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