6 Questions
What is the main focus of the session on AI values?
Exploring the ethical considerations surrounding AI technology
Which scenario was NOT discussed as an example during the session?
AI improving healthcare for children
What is a major concern related to data privacy and AI technology discussed in the session?
The potential for AI to track human behavior without consent
What is one suggested way to build trust in AI technology mentioned in the session?
Sharing algorithms publicly
What impact does AI technology have on employment opportunities according to the session?
AI technology creates new opportunities by enabling global communication
What is one of the covered topics in the session regarding AI systems?
Privacy threats posed by AI systems
Study Notes
- Session on AI values, covering ethics, AI bias, calculator problems, and examples
- Ethics defined as study of right and wrong behavior, manners, and ideal behavior
- Examples discussed: AI changing traffic lights for elderly, AI-powered car accidents, Avengers movie ethical dilemma
- Issue of data privacy related to AI, tracking human behavior and activities without consent
- Job loss concern due to AI technology replacing manual labor, example of AI bot on Twitter posting racist content
- AI bias phenomenon where algorithms produce biased results towards certain gender, language, or race
- Causes of AI bias include problems in AI technology and biases introduced by engineers and scientists
- Ways to build trust in AI: reducing bias in data, sharing algorithms publicly, diverse representation in development teams, and establishing a monitoring body
- Employment opportunities affected by AI technology, but also creating new opportunities by enabling global communication and collaboration
- Covered topics in the session: privacy threats, lack of transparency in AI systems, and the presence of bias in AI systems
Test your knowledge on AI values, ethics, bias, and examples discussed in a session covering topics like AI changing traffic lights, car accidents, and ethical dilemmas in movies. Explore issues like data privacy, job loss concerns, AI bias phenomenon, and ways to build trust in AI technology.
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