Podcast explores proposal for advancing beneficial development of AI while preserving safety and democracy. Apple's $1B investment in catching up on AI discussed. Topics include AI in health, biased AI chatbots, frustration in UK's AI sector, and policy goals for beneficial AI.
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Quick takeaways
Apple is investing $1 billion per year in catching up on AI and aims to integrate AI into its products by the end of 2024.
Yoshua Bengio and Daniel Pravatera propose a roadmap for balancing AI progress, safety, and democratic participation by investing in existing AI, boosting research on trustworthy AI, and democratizing AI oversight.
Deep dives
Apple's AI Strategy: Catching Up in the Generative AI Space
Apple's efforts to catch up in the generative AI space have been reported, with hints about its AI models and challenges of integration with their devices. Reports suggest that we may see AI integration into Apple products by the end of 2024. The leaders of Apple's AI efforts are spending approximately a billion dollars a year on this endeavor. The focus is on revamping Siri, bringing AI into iOS, developer tools, and customer service. However, some criticize the pace of Apple's AI advancements compared to competitors in the market.
The Role of AI Safety Summit and Challenges for the UK
The UK's upcoming AI safety summit is becoming a major policy issue, scrutinized for its focus on extreme scenarios of AI harm rather than immediate challenges. Critics raise concerns about its voluntary global register of large AI models, which may rely on the goodwill of US and Chinese tech companies. The event's attendee list has also upset the UK AI community, creating a lack of consensus and participation. Despite these challenges, the summit is increasing the conversation and focus on AI safety concerns.
Balancing Progress, Safety, and Democratic Participation in AI
Yoshua Bengio and Daniel Pravatera propose a roadmap for balancing progress, safety, and democratic participation in the field of AI. They suggest investing in the beneficial use of existing AI, boosting research on trustworthy AI, democratizing AI oversight to prevent concentration of power, and setting up procedures to monitor and evaluate AI progress. They argue that a false polarization exists between these values and encourage finding common ground to achieve all three objectives.
NLW explores a new policy proposal from some extremely notable AI leaders around how we can continue to advance the beneficial development of AI while also preserving safety and democracy at the same time. Before that on the Brief, Apple is spending $1B to catch up on AI.
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