144 - Developing Artificial Intelligence, with Phil Chen
Sep 5, 2023
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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.
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.
The Homogeneity of Values in the Tech World
One of the challenges in the tech industry, particularly in Silicon Valley, is the homogeneity of values and ethics. The dominant voices often reflect a particular set of values, creating a lack of diversity and perspectives. The concentration of power within certain tech companies further amplifies this situation. Questions about the alignment of AI with human goals are important but need to be expanded to include a broader range of voices and perspectives. Whose values, which rationality, and whose justice are critical ethical questions that should be actively explored and addressed. By acknowledging the diversity of values and including marginalized voices, we can ensure a more inclusive and ethical approach to AI development.
The Role of Explainability in AI Decision-Making
The challenge of explainability in AI decision-making arises from the complex nature of large language models and neural networks. While these models can achieve high accuracy, understanding the specific decision-making process can be difficult or even impossible. In contexts with significant material consequences, such as medical and legal applications, explainability becomes crucial to ensure transparency and accountability. Striking a balance between accuracy and explainability is important, and this balance may differ depending on the specific context. It is crucial to address this challenge and ensure that AI systems are ethically designed and implemented, considering factors like biases, fairness, and human-centered values.
The Need for Openness and Diversity in AI Development
The current AI landscape requires openness and diversity in development approaches. Open-source models can enable different communities and cultures to shape AI systems' values and biases. By allowing various perspectives to influence AI development, we can avoid excessive concentration of power and create a more inclusive and representative technological landscape. Furthermore, discussions around ethics, values, and the impact of AI on human life need to be more open and transparent, fostering dialogue and understanding. By actively involving marginalized voices and considering a range of values, we can work towards a more balanced and ethical integration of AI technology into society.
Phil Chen talks about the development of AI and the ethics of sourcing material for large language models like ChatGPT.
This is the third in a series on artificial intelligence, based in part on the work of AI and Faith, an organization which seeks to engage the world in the moral and ethical issues around artificial intelligence. Learn more at AIandfaith.org.
Phil Chen is an investor, a serial entrepreneur, and a senior advisor at Race Capital.
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