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AI Ethics - Key Issues

AI Ethics - Key Issues
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Objectives On completion of this tutorial, you will be able to:
  • Identify the key areas of concern in relation to AI ethics, namely bias and discrimination and data privacy and security
  • Recognize how regulators are responding to these concerns in terms of both technology-independent regulations and AI-specific regulations
  • Identify the benefits and limitations of AI ethics codes
Tutorial Overview The field of AI has developed largely disconnected from ethical concerns. As AI has advanced and its applications have proliferated, the need for ethics has become palpable. Time and again, AI has resulted in unnecessary harms that could have been prevented if the technology had been designed and deployed with ethics in mind. This tutorial focuses on the key ethical issues surrounding the use of AI algorithms, such as bias/discrimination and data privacy and security, and the regulatory and industry response in that regard. Prerequisite Knowledge AI Ethics - Key Principles Tutorial Level: Introductory Tutorial Duration: 30 minutes
  • 1 Sections
  • 2 Lessons
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AI Ethics - Key Issues

2 Lessons
  • AI Ethics - Key Issues
  • AI Ethics - Key Issues - Completion

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