Last Week in AI On the State of AI Ethics Report with its authors
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Jul 24, 2020 Join Abhishek Gupta, founder of the Montreal AI Ethics Institute and a machine learning engineer at Microsoft, alongside Ryan Khurana, an AI Ethics researcher. Together, they dive into their recent State of AI Ethics Report. Key topics include the pressing need to address biases in AI, especially those affecting disabled individuals, and the ethical opacity of automated hiring practices. They also tackle the ideological nature of AI, explore the complexities of public understanding versus expert knowledge, and emphasize the importance of inclusive and fair AI systems.
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Opaque Hiring Processes
- AI-driven hiring processes raise ethical concerns regarding transparency.
- Applicants and even hiring managers are often unaware of the criteria used.
AI as Ideology
- AI is often viewed as an ethereal force rather than a technology with limitations.
- This ideology discounts the human labor involved in creating and maintaining AI systems.
AI Hype vs. Reality
- Incorrect perceptions of AI's capabilities fuel hype and anxieties.
- Focus on understanding AI's current limitations and real-world applications, not science fiction.