Conversing with Mark Labberton cover image

Conversing with Mark Labberton

144 - Developing Artificial Intelligence, with Phil Chen

Sep 5, 2023
Phil Chen discusses the development of AI and the ethics of sourcing material for large language models. Topics include Siri's natural language processing, addictive nature of mobile phones and social media, augmented reality and Apple's newest device, ethical dimensions of AI in the living room, and the importance of balance and ethics in AI.
47:08

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Explainability in AI decision-making is crucial to ensure transparency, accountability, and avoid potential biases in cases involving material consequences like medical and legal contexts.
  • The AI development process should include a diverse range of voices and perspectives to address questions about whose values and goals AI should align with, fostering a more inclusive and ethical approach.

Deep dives

AI and its Impact on Human Life

AI technology has significantly shaped various aspects of human life, ranging from everyday tasks to complex decision-making processes. The accuracy and power of AI systems in fields like medical diagnosis and legal case analysis are undeniable. However, with this power comes the need for balance between accuracy and explainability. In cases where material consequences are involved, such as medical and legal contexts, explainability becomes crucial. The ability to understand and trace AI decision-making processes is essential to ensure transparency, accountability, and avoid potential biases. Open-source models can contribute to providing explanations and allowing different communities to shape the values and biases within AI systems. These ethical considerations and questions about whose values and goals AI should align with need to be addressed to ensure a diverse and inclusive approach to AI development and application.

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