Course Description
These lessons on Critical Artificial Intelligence Incidents looks at significant AI incidents through a series of real-world examples of negative outcomes in AI, how they were resolved, and how they could have been prevented. Specifically, you’ll work through case studies focusing on issues of identity and discrimination, offensive content, and legal implications. You’ll first review a case of AI hiring discrimination where female applicants were excluded, and then you’ll look at a case of biased image AI that resulted in offensive photo descriptions.
The second series of case studies includes a generation and amplification of offensive content on popular internet platforms because of bad actors. Through the final case studies, you’ll explore cases where AI systems intersect with the law, and you’ll gain insight into the legal implications of such interactions.
What You'll Learn
- Describe the ways in which AI systems can fail or be problematic
- Recognize the ethical issues raised by real-world AI use cases
- Examine AI failures involving identity and discrimination through case studies
- Analyze how AI systems generate or amplify offensive content
- Explore cases where AI systems intersect with the law and their legal implications
- Learn from past AI incidents to understand how they were resolved and prevented
Key Takeaways
- The course studies significant AI incidents through real-world examples of negative outcomes, examining how they were resolved and how they could have been prevented.
- Case studies cover identity and discrimination, including a hiring AI that excluded female applicants and a biased image AI that produced offensive photo descriptions.
- One series of case studies addresses the generation and amplification of offensive content on popular internet platforms caused by bad actors.
- The final case studies explore how AI systems intersect with the law and the legal implications of those interactions.
- The lessons aim to build understanding of AI ethics by learning from past problems with AI.
Frequently Asked Questions
What does this course cover?
It examines significant AI incidents through real-world case studies of negative outcomes, focusing on identity and discrimination, offensive content, and legal implications, including how the incidents were resolved and how they could have been prevented.
What real-world examples are discussed?
Examples include a case of AI hiring discrimination where female applicants were excluded, a biased image AI that produced offensive photo descriptions, the amplification of offensive content on popular internet platforms by bad actors, and cases where AI systems intersect with the law.
What will I be able to do after taking this course?
You will be able to describe ways AI systems can fail or be problematic, recognize the issues involving AI ethics in real-world use cases, and learn from past issues with AI.
What topics or lessons are included?
The lessons are AI Issues in Identity and Discrimination, AI and Offensive Content, and AI Translators and Legal Implications.
What skills does this course develop?
It develops skills in Applications of Artificial Intelligence, Artificial Intelligence Systems, Artificial Intelligence, Artificial Intelligence Development, Data Ethics, and Explainable AI (XAI).
