The hottest AI Governance Substack posts right now

And their main takeaways
Category
Top Technology Topics

The 2023 White House Executive Order on AI has Been Rescinded

Marcus on AI • 1778 implied HN points • 21 Jan 25
🇺🇸 U.S. Politics Policy Legislation Executive orders AI Governance Safety Regulations
  1. The 2023 White House Executive Order on AI has been canceled. This means any rules or plans it included are no longer in effect.
  2. Elon Musk's worries about AI safety may seem less relevant now that the order is gone. People might question if precautions were necessary.
  3. The change could lead to different approaches in handling AI development and regulation in the future. It opens the door for new discussions on AI safety.

In the race between humans and AIs, Data Governance might be the only lever we can pull, to charge for a fair win against the machines

The Diary of a #DataCitizen • 19 implied HN points • 28 Aug 24
🕹 Technology AI Governance Data Management Ethics Human Impact Technology Trends
  1. Data governance is important for keeping technology human-friendly. It helps us make sure that tech doesn't take over our lives.
  2. The rise of AI has changed the game, making data and AI governance even more crucial. We need to focus on using technology in ways that benefit everyone.
  3. Good tech creates real value for people. It's about how well technology works for the users, not just its shiny features or capabilities.

The VC Corner 📰 #9

The VC Corner • 259 implied HN points • 20 Jan 24
💼 Business Venture Capital Startups Investment Trends Market Analysis AI Governance
  1. 38% of venture capitalists have stopped making deals in 2023. This shows a big change in the investment landscape.
  2. Successful exits for startups can lead to mixed feelings among founders and investors. It's a success, but it can also feel like losing something they built.
  3. There is a push for better governance in the artificial intelligence sector through an AI Governance Alliance. This aims to make AI use safer and more responsible.

Import AI 339: Open source AI culture war; Alibaba's multimodal model; the attacks (and defenses) made possible by generative AI

Import AI • 399 implied HN points • 05 Sep 23
🕹 Technology AI Open Source AI Governance Generative AI
  1. A16Z is supporting open source AI projects through grants to push for a more comprehensive understanding of the technology.
  2. The UK government is hosting an AI Safety Summit to address risks and collaboration in AI development, marking a significant step in AI governance efforts.
  3. Generative AI presents new attack possibilities like spear-phishing and deepfake creation, but defenses are being developed to tackle these risks.

Import AI 327: Stable Diffusion on phones; GPT-Hacker; UK launches a £100m AI taskforce

Import AI • 379 implied HN points • 01 May 23
🕹 Technology AI Research Cybersecurity AI Governance
  1. Google researchers optimized Stable Diffusion for efficiency on smartphones, achieving fast inference latency, a step towards industrialization of image generation.
  2. Using large language models like GPT-4 can enhance hacker capabilities, automating tasks and providing helpful tips.
  3. Political parties, like the Republican National Committee, are leveraging AI to create AI-generated content for campaigns, highlighting the emergence of AI in shaping political narratives.
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Import AI 332: Mini-AI; safety through evals; Facebook releases a RLHF dataset

Import AI • 299 implied HN points • 12 Jun 23
🕹 Technology AI Research AI Models AI Policy AI Governance AI safety
  1. Facebook used human feedback to train its language model, BlenderBot 3x, leading to better and safer responses than its predecessor
  2. Cohere's research shows that training AI systems with specific techniques can make them easier to miniaturize, which can reduce memory requirements and latency
  3. A new organization called Apollo Research aims to develop evaluations for unsafe AI behaviors, helping improve the safety of AI companies through research into AI interpretability

#10 - Voluntary Commitments for Safe AI Development + A New Industry Body

Navigating AI Risks • 78 implied HN points • 02 Aug 23
🕹 Technology AI Governance Regulation AI Research
  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.

#7: Binding AI Treaty by 2024 + The UK Takes the Lead + A Constitution for AI?

Navigating AI Risks • 78 implied HN points • 20 Jun 23
🕹 Technology AI Governance Government Relations Legislation AI Development Tech Companies
  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.

Get a Microsoft 365 Copilot security teardown without hours of documentation review

Deploy Securely • 39 implied HN points • 24 Jan 24
🕹 Technology Security Privacy Data Governance AI Governance Data Management
  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.

#5 - Under the Gavel: Senate Hearing on AI + Connecticut's AI Law

Navigating AI Risks • 58 implied HN points • 20 May 23
🕹 Technology AI Governance Regulation Policy International Collaboration
  1. AI experts testified before the US Senate about the need for regulation, with varying proposals
  2. Connecticut introduced a law focusing on AI governance, including oversight bodies and policies
  3. Global discussions on AI governance are increasing, with various countries and organizations taking steps to address AI challenges

#11 - AI in the Public Eye + AI Governance is (mostly) Compute Governance

Navigating AI Risks • 58 implied HN points • 06 Sep 23
🕹 Technology AI Governance AI Policy AI Development
  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.

How To Regulate AI, If You Must

jonstokes.com • 175 implied HN points • 22 Jun 23
🕹 Technology AI Regulations AI Governance AI Development
  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.

#14 - Day 1 of Global AI Safety Governance

Navigating AI Risks • 39 implied HN points • 08 Nov 23
🕹 Technology AI risks AI Governance
  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.

Data classification mastery: 5 simple categories for handling sensitive information

Deploy Securely • 19 implied HN points • 07 Feb 24
🕹 Technology Data Management Cybersecurity Data Privacy Regulations AI Governance
  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.

AGI will be made of heterogeneous components

Engineering Ideas • 19 implied HN points • 27 Dec 23
🕹 Technology Artificial Intelligence Algorithms AI safety AI Policy AI Governance
  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.

Freewheeling Futures

Reboot • 15 implied HN points • 07 Oct 23
🕹 Technology Urbanism AI Governance Emerging technologies
  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.

Issue #9 - Board, Are You Ready for AI Unknowns?

OSS.fund Newsletter • 0 implied HN points • 14 May 25
💼 Business AI Governance Corporate strategy Risk management Performance Metrics
  1. AI governance is becoming a critical focus for boards due to rising data, legal pressures, and new regulations. Companies now need to track their AI progress with scorecards every quarter.
  2. Boards are looking at five key performance indicators (KPIs) to measure AI effectiveness. These include adoption rates, financial performance, and risk management.
  3. There's a growing need for collaboration among different departments in companies. No single team should handle AI oversight alone; a cross-functional approach is key to successful AI governance.

Annotated reply to Bengio's "AI Scientists: Safe and Useful AI?"

Engineering Ideas • 0 implied HN points • 08 May 23
🕹 Technology AI Ethics AI Regulation AI Governance
  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.

#15 - Altman, Jinping, Biden, and O

Navigating AI Risks • 0 implied HN points • 22 Nov 23
🕹 Technology AI Governance Government regulations Policy Analysis Global Cooperation
  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

Revolutionary Proposal Emerges for Effective AI Governance

Spatial Web AI by Denise Holt • 0 implied HN points • 24 Jul 23
🕹 Technology AI Governance Regulation Ethics Innovation Global
  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.

Are Your AI Policies Still “PDF”? Really?

OSS.fund Newsletter • 0 implied HN points • 05 Jun 25
🕹 Technology AI Governance Software Development Risk management
  1. AI policies should be more than just documents; they need to be coded directly into the systems. This helps ensure that rules are automatically enforced and reduce the risks of mistakes.
  2. Ignoring policy-as-code can lead to serious issues, like compliance breakdowns and financial losses. Simple coding changes can prevent big problems before they happen.
  3. Integrating policies into the development process makes AI governance a part of daily operations, helping companies to adapt quickly and use AI effectively without getting bogged down by regulations.

The idea of an "aligned superintelligence" seems misguided :/

Scott Sadler's Substack • 0 implied HN points • 27 Feb 23
🕹 Technology AI Complexity AGI Risk mitigation AI Governance
  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