TED: Your right to repair AI systems | Rumman Chowdhury

The video explores the intersection of technology and farming, highlighting the right to repair movement sparked by John Deere's smart tractors. It discusses public concerns about AI, emphasizing the need for trust and involvement in AI development. Red teaming is introduced as a method to improve AI systems. The video also examines AI's role in professional fields, focusing on trust and technical challenges. Finally, it discusses the future of AI, stressing the importance of human agency and the right to repair.

What sparked the 'right to repair' movement among farmers?

• The invention of computer vision technology

• The increase in pest infestations

• The introduction of smart tractors by John Deere

• The decline in crop yields

What is a major reason for the declining public confidence in AI?

• Feeling of being an afterthought in AI development

• Increased cost of AI systems

• Over-reliance on traditional farming methods

• Lack of technological advancements

What is the purpose of 'red teaming' in AI development?

• To increase the cost of AI systems

• To replace human workers

• To test and improve system defenses

• To create new AI models

Why do architects hesitate to trust AI systems with their work?

• AI systems lack the ability to understand building codes

• AI systems are too expensive

• AI systems cannot be corrected if they make mistakes

• AI systems cannot evoke emotions

What is Agentic AI expected to do?

• Make decisions for humans

• Replace all human jobs

• Increase the cost of AI systems

• Reduce the need for technology in farming

What is a potential benefit of the right to repair for AI systems?

• It increases the complexity of AI systems

• It allows for more expensive repairs

• It enables users to customize AI systems

• It reduces the need for AI systems

What is necessary to achieve the promised benefits of AI?

• Excluding people from AI development

• Increasing the cost of AI systems

• Involving people in the AI development process

• Reducing the number of AI systems