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Explore key ethical considerations in artificial intelligence through this university lecture from Memorial University's Computer Science program. Delve into the PROBESS model framework while examining critical aspects of AI ethics including privacy concerns, surveillance implications, algorithmic responsibility, system opacity, inherent biases, employment equity, sustainability challenges, and safety considerations. Learn how algorithmic decision-making impacts various aspects of society and gain insights into emerging ethical challenges in AI development and deployment. Through detailed examples and discussions, understand the complex interplay between artificial intelligence technologies and ethical considerations that shape their implementation. Participate in a concluding Q&A session that addresses additional ethical concerns and implications for the future of AI development.
Syllabus
00:00 - Introduction
02:30 - AI Ethics Overview
05:42 - Taking a Step Back
07:28 - Algorithmic Decision Making
11:08 - PROBESS Model
12:52 - Privacy and Surveillance
32:12 - Responsibility
38:33 - Opacity
45:32 - Bias
51:35 - Equity and Employment
58:57 - Sustainability
01:02:01 - Safety
01:07:34 - Other Issues
01:08:20 - Outro and QA
Taught by
Dave Churchill