Navigating AI Risks

Navigating AI Risks Substack focuses on the governance of transformative AI risks, analyzing global policy, regulatory frameworks, and safety measures. It debates the balance between innovation and regulation, examines international AI diplomacy, and discusses strategies for safe AI development among policymakers, tech companies, and global leaders.

AI Policy and Governance Global AI Safety and Regulation International Diplomacy and AI AI Development and Innovation Ethical AI and Risk Mitigation Corporate Governance in AI Public Perception and AI Risks AI Existential Risks

The hottest Substack posts of Navigating AI Risks

And their main takeaways
78 implied HN points • 18 Oct 23
  1. The UK, US, and other Western countries are establishing a Multilateral AI Safety Institute to evaluate national security risks of advanced AI models.
  2. Biden's Executive Order will set public procurement standards for AI to mitigate risks, with the aim to influence industry safety standards.
  3. Open-sourcing AI models presents risks of misuse by malicious actors, irreversible releases, and challenges in ensuring safety without compromising the benefits of public access.
117 implied HN points • 17 Jul 23
  1. The UK's £100 Million Foundation Model Taskforce should develop a risk assessment methodology for extreme risks from AI
  2. The taskforce should demonstrate current and forecast near-term risks through risk scaling laws
  3. It's important for the taskforce to comprehensively assess the state-of-the-art open source large language model (LLM) for risks
39 implied HN points • 07 Dec 23
  1. The idea that democracies should be in control of transformative AI over authoritarian states like China is well-grounded.
  2. A 'cautious coalition' strategy suggests that democracies should lead in AI to reduce risks associated with states that do not regulate AI for safety.
  3. It is important for democratic governments to balance the desire to maintain AI lead with global governance arrangements that involve all key players, including China and other autocracies.
137 implied HN points • 28 Apr 23
  1. The debate on US AI policy involves a delicate balance between regulating AI to mitigate risks and maintaining a competitive edge over China.
  2. Regulation can shape innovation, address safety concerns, and avoid large-scale mishaps in AI development.
  3. While China is ambitious, the US still leads in AI innovation and has a strong network of alliances to maintain its position.
58 implied HN points • 03 Oct 23
  1. Anthropic released a Responsible Scaling Policy for safe AI development, defining AI safety levels and associated risks.
  2. The upcoming UK AI Safety Summit will address misuse and loss of control risks associated with advanced AI models.
  3. The UK invited China to the summit, sparking debates on the global governance of AI and the role of different countries.
Get a weekly roundup of the best Substack posts, by hacker news affinity:
117 implied HN points • 05 May 23
  1. The White House is engaging with top AI companies to discuss risks and set guidelines for responsible AI use.
  2. Leaked documents show concerns about open-source AI catching up to big companies, raising issues about model accessibility and misuse.
  3. Generative AI is being used to automate tasks, raising concerns about job displacement and income inequality across various industries.
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.
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.
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.
98 implied HN points • 13 May 23
  1. The EU is working on the world's first comprehensive AI regulation, which will impact AI companies globally.
  2. Google AI and Anthropic have released advanced models raising safety concerns about the use of large language models.
  3. A call for a 'Manhattan Project for AI Safety' suggests a need for coordinated research to address AI alignment challenges.
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.
78 implied HN points • 06 Jun 23
  1. AI existential risks are gaining significant attention from top AI scientists, policymakers, and CEOs of advanced AI labs.
  2. The White House updated the National R&D Strategy for AI with a focus on international collaboration and AI system safety and security.
  3. Transatlantic discussions between the EU and US aim to coordinate AI policies, but differences in regulatory approaches exist.
58 implied HN points • 19 Jul 23
  1. The UN Security Council held a session to discuss the risks and benefits of AI, highlighting concerns over international stability and nuclear control.
  2. Corporate governance is important for AI labs to prioritize safety over profit, with innovations in structures like Anthropic's Long-Term Benefit Trust.
  3. China's new AI rules balance social stability and economic development, with stringent regulations on generative AI systems.
39 implied HN points • 04 Jul 23
  1. Export controls on semiconductors are evolving due to the blurred distinction between 'weapon' and 'non-weapon' technologies, impacting US-China relations.
  2. Concerns about monopolistic practices in the AI industry are rising due to the consolidation of well-funded firms and competition strategies.
  3. Compute governance, focusing on data, computing power, and algorithms, is crucial for governing powerful AI systems and ensuring safety in international cooperation.
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