The hottest AI Governance Substack posts right now

And their main takeaways
Category
Top Technology Topics
Deploy Securely 39 implied HN points 24 Jan 24
  1. Microsoft 365 Copilot provides detailed data residency and retention controls favored by enterprises in the Microsoft 365 ecosystem.
  2. Be cautious of insider threats with Copilot as it allows access to considerable organizational data, potentially leading to inadvertent policy violations.
  3. Consider the complexities of Copilot's retention policies, especially in relation to existing settings and the use of Bing for web searches.
Deploy Securely 19 implied HN points 07 Feb 24
  1. Effective AI governance requires clear data classification policies and procedures.
  2. Avoid unnecessarily complex ascending levels of data sensitivity for easier management.
  3. Utilize practical categories like Public, Confidential-Internal, and Confidential-External for better data handling.
jonstokes.com 175 implied HN points 22 Jun 23
  1. AI rules are inevitable, but the initial ones may not be ideal. It's a crucial moment to shape discussions on AI's future.
  2. Different groups are influencing AI governance. It's important to be aware of who is setting the rules.
  3. Product safety approach is preferred in AI regulation. Focus on validating specific AI implementations rather than regulating AI in the abstract.
Navigating AI Risks 39 implied HN points 08 Nov 23
  1. At the Global AI Safety Summit, an emerging international consensus on AI risks was established through the Bletchley Declaration signed by 27 countries and the EU.
  2. A new global panel of experts in AI safety was launched to publish a "State of AI Science" report, aiming to foster a unified scientific understanding of AI risks.
  3. The establishment of AI Safety Institutes by the UK and US, along with collaboration on safety testing, signifies a step towards accountability in evaluating and researching AI systems.
Navigating AI Risks 78 implied HN points 02 Aug 23
  1. Leading AI companies have made voluntary commitments to ensure safety, security, and trust in AI development.
  2. The commitments focus on addressing transformative risks linked to frontier AI development.
  3. Inter-Lab Cooperation in AI Safety is being fostered through the creation of a forum to share best practices and collaborate with policymakers.
Get a weekly roundup of the best Substack posts, by hacker news affinity:
Navigating AI Risks 58 implied HN points 06 Sep 23
  1. One proposed approach to AI governance involves implementing KYC practices for chip manufacturers to sell compute only to selected companies with robust safety practices.
  2. There is growing public concern over the existential risks posed by AI, with surveys showing varied attitudes towards regulating AI and its potential impact on society.
  3. Nationalization of AI and the implementation of red-teaming practices are suggested as potential strategies for controlling the development and deployment of AI.
Engineering Ideas 19 implied HN points 27 Dec 23
  1. AGI will be made of heterogeneous components, combining different types of DNN blocks, classical algorithms, and key LLM tools.
  2. The AGI architecture may not be perfect but will be close to optimal in terms of compute efficiency.
  3. The Transformer block will likely remain crucial in AGI architectures due to its optimization, R&D investments, and cognitive capacity.
Navigating AI Risks 78 implied HN points 20 Jun 23
  1. The world's first binding treaty on artificial intelligence is being negotiated, which could significantly impact future AI governance.
  2. The United Kingdom is taking a leading role in AI diplomacy, hosting a global summit on AI safety and pushing for the implementation of AI safety measures.
  3. U.S. senators are advocating for more responsibility from tech companies regarding the release of powerful AI models, emphasizing the need to address national security concerns.
Reboot 15 implied HN points 07 Oct 23
  1. Autonomous vehicles should be deployed responsibly, with full participation of the public.
  2. Car-centric urbanism has negative impacts and it's crucial to prioritize public transportation and mixed-use urbanism.
  3. To ensure optimal benefit to society, emerging technologies like AVs should be governed accountably with input from residents and careful planning.
Spatial Web AI by Denise Holt 0 implied HN points 24 Jul 23
  1. A groundbreaking proposal suggests regulating AI systems directly, instead of just the companies developing AI tools, for adaptive and self-regulating AI governance.
  2. There's a need to bridge the gap between humans and AI by incorporating core technical standards into AI, enabling compliance with societal norms and values.
  3. The Spatial Web Protocol and Active Inference AI present a novel approach to AI governance, offering self-regulating AI systems and real-time compliance with laws through machine-readable models.
Engineering Ideas 0 implied HN points 08 May 23
  1. The proposal of AI scientists suggests building AI systems that focus on theory and question answering rather than autonomous action.
  2. Human-AI collaboration can be beneficial, with AI doing science and humans handling ethical decisions.
  3. Addressing challenges in regulating AI systems requires not just legal and political frameworks, but also economic and infrastructural considerations.
Navigating AI Risks 0 implied HN points 22 Nov 23
  1. OpenAI faced turmoil with CEO Sam Altman's firing, highlighting governance challenges and lack of transparency
  2. China is already regulating AI with new laws, ethics reviews, and safety measures to manage AI risks
  3. The White House tightened AI oversight with an executive order requiring companies to share safety test results with the government
Scott Sadler's Substack 0 implied HN points 27 Feb 23
  1. The concept of aligning superintelligence seems challenging due to the complexity of managing it
  2. Complexity tends to escape control over time, posing a significant challenge for AI safety
  3. We should focus on analyzing and mitigating risks, socializing AI, and involving multiple fields to prepare for potential AI threats