AI Engineer - Learn how to integrate AI into software applications
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Overview
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Explore critical concerns about artificial intelligence development and deployment in this 14-minute educational video. Examine whether AI decision-making systems deserve trust and investigate the complex issues surrounding data sourcing and ownership rights. Learn about the significant environmental and financial costs associated with AI implementation, including energy consumption and resource allocation. Discover how training data bias affects AI outputs and understand the challenges of morality and censorship in AI systems. Analyze potential harm to individuals and communities from AI technologies, and consider how AI is increasingly being integrated into daily life without user choice. Gain awareness of these fundamental issues to better understand the current state of AI technology and contribute to its improvement through informed discussion and decision-making.
Syllabus
00:00 - Intro
00:26 - Should we trust AI's decisions?
03:28 - Datasourcing and ownership concerns
04:27 - The cost of using AI environmentally and financially
06:43 - Training data bias
07:21 - Morality and censorship
08:48 - Harm to people
11:38 - AI is being forced on us
13:25 - Be aware of these things in order to improve
Taught by
Caleb Curry