ConceptIntermediate
What are the main challenges and ethical considerations of AI mentioned in the chapter?
The chapter identifies four main ethical challenges of AI: bias and fairness, privacy, job displacement, and accountability. Bias can lead to discriminatory outcomes in areas like hiring and law enforcement. Privacy concerns arise from extensive data use and surveillance. Job displacement requires retraining efforts, and accountability demands transparency in AI decisions and clarity about responsibility.
Key points
- Bias and fairness: AI can perpetuate biases in training data, causing discriminatory outcomes, especially in hiring and law enforcement.
- Privacy: Extensive use of personal data raises concerns about data privacy and surveillance.
- Job displacement: Automation may displace workers in certain sectors, requiring retraining and reskilling.
- Accountability: Transparency in AI decision-making and clear responsibility for outcomes are critical for trust.
Source:AI for the Ordinary_ A Non-technical Playbook for Citizens, Students, and Manage· What AI Means for Ordinary People· p. 189–191
AI for the Ordinary_ A Non-technical Playbook for Citizens, Students, and Manage
AI for the Ordinary_ A Non-technical Playbook for Citizens, Students, and Manage
Unknown
First edition · CRC Press