AI Governance

[2305.08598] Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application

5 best practices for AI governance: Building a culture for responsible

12 Risks and Dangers of Artificial Intelligence (AI) | Built In

2019 G7 science academies declaration: Artifical intelligence and society

A Framework for the International Governance of AI

A Method for Ethical AI in Defence - Australian Government

A Review of Trust in Artificial Intelligence: Challenges, Vulnerabilities and Future Direction

About | Stanford Trustworthy AI - https://stai.stanford.edu/about

Accountability of AI Under the Law: The Role of Explanation

Accounting for AI — a Comparison of Methods | Berkman Klein Center

Achieving an International Framework for the Governance of AI

AI Alignment Podcast: On the Governance of AI with Jade Leung - Future of Life Institute

AI Blindspot: A Discovery Process for preventing, detecting, and mitigating bias in AI systems

AI Governance - PRIMO.ai

AI Governance Research Grant Call - AI Singapore

AI Governance: A Research Agenda

AI Governance: Artificial Intelligence Model Governance

AI governance: Ensuring your AI is transparent, compliant, and trustworthy - IBM

AI Governance: Opportunity and Theory of Impact

AI governance: The next M&A frontier for enterprise data science platforms? | S&P Global Market Intelligence

AI Principles - Future of Life Institute

An Attempt to Model Human Trust with Reinforcement Learning | OpenReview - https://openreview.net/forum?id=G1J5OYjoiWb

An Ecosystem Approach to Ethical AI and Data Use: Experimental reflections

An Eye for Artificial Intelligence: Insights Into the Governance of Artificial Intelligence and Vision for Future Research - Deepika Chhillar, Ruth V. Aguilera, 2022

Artificial Intelligence Risk & Governance - AI & Analytics for Business

Artificial Intelligence Risk Management Framework

Auditing Guidelines for Artificial Intelligence

Australia’s AI Ethics Principles | Australia’s Artificial Intelligence Ethics Framework | Department of Industry, Science and Resources

Australia’s Artificial Intelligence Ethics Framework | Department of Industry, Science and Resources

Beyond fire alarms: freeing the groupstruck – AI Impacts

Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society

Building an AI Governance Framework - EnterpriseTalk

Building Trust in Artificial Intelligence, Machine Learning, and Robotics | Cutter Consortium

Building trust in human-machine teams | Brookings

Centre for the Governance of AI (GovAI) · Giving What We Can

Communicating Ethics across the AI Ecosystem Josephine Seah and Mark Findlay

Could a Global “Wicked Problems Agency” Incentivize Data Sharing?

Current and Near-Term AI as a Potential Existential Risk Factor

Defining organizational AI governance | AI and Ethics

Determining uncertainty, part 1 – Uncertainties we can rely on – Magazine of the Fraunhofer Institute for Cognitive Systems IKS

Determining uncertainty, part 2 – How to teach an AI to question itself – Magazine of the Fraunhofer Institute for Cognitive Systems IKS

Developing an Artificial Intelligence Governance Framework

EA Talks✓ Claimed Priorities in AGI governance research | Jade Leung | EA Global: SF 22

Ethics and Governance of AI - Berkman Klein Center

Ethics guidelines for trustworthy AI | Shaping Europe’s digital future

Explainability + Trust

Explainibilty AI

Exploring institutions for global AI governance

Exploring Trust in Human -- AI Collaboration in the Context of Multiplayer Online Games

Federal Register :: AI Accountability Policy Request for Comment

Forecasting TAI with biological anchors

Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI

Framing AI strategy – AI Impacts

From ethical principles to governed AI - Artificial Intelligence Governance And Auditing - https://ai-governance.eu/from-ethical-principles-to-governed-ai/

Frontier AI Regulation: Managing Emerging Risks to Public Safety

Fun with +12 OOMs of Compute — LessWrong

H. Compliance - Artificial Intelligence Governance And Auditing

How do we best govern AI? - Microsoft

How to Design an AI Ethics Board

How-To Build Trust in Artificial Intelligence Solutions | by Michael Burkhardt | Towards Data Science

Introducing the Principled Artificial Intelligence Project

It Looks Like You’re Trying To Take Over The World

Jade Leung: How Can We See the Impact of AI Strategy Research? | Effective Altruism

Key challenges for the participatory governance of AI in public administration

Lessons From the World’s Two Experiments in AI Governance

Let’s think about slowing down AI – AI Impacts

List of AI Governance Tasks - Artificial Intelligence Governance And Auditing

Literature review of Transformative Artificial Intelligence timelines

Machine Learning Techniques for Accountability

Measuring Trust in AI | News | Communications of the ACM - https://cacm.acm.org/news/257780-measuring-trust-in-ai/fulltext

Measuring Trust in Artificial Intelligence (AI)

Measuring Trust in the XAI Context

Model Evaluation for Extreme Risks

National Priorities for Artificial Intelligence (Response to the OSTP Request for Information) | GovAI

NIST AIRC - AI Risks and Trustworthiness

NIST AIRC - Home - Trustworthy & Responsible AI Resource Center

OECD 2019 Recommendation of the Council on AI

On Advancing Global AI Governance - Centre for International Governance Innovation

Open Problems in Cooperative AI

Peeking into the Black Box – Trust in AI – Part 2 | Wolters Kluwer

Peeking into the black box a design perspective on comprehensible ai part 1 | Wolters Kluwer

Pillars of Trust in AI: Measure & Quantify Your Machine Learning Practices | by Alec Lazarescu | Bots + AI | Medium - https://medium.com/bots-and-ai/pillars-of-trust-in-ai-measure-quantify-your-machine-learning-practices-1a5c8e72f2c6

Playground - https://takeoffspeeds.com/

Policy Gradients In Reinforcement Learning Explained | by Wouter van Heeswijk, PhD | Towards Data Science

Public Policy and Superintelligent AI: A Vector Field Approach

Putting AI Ethics into Practice: The Hourglass Model of Organizational AI Governance | Microsoft Word - AI governance - Finland

Research summary: AI Governance: A Holistic Approach to Implement Ethics in AI | Montreal AI Ethics Institute + WEF

Response to the OSTP Request for Information: National Priorities for Artificial Intelligence -

Rethinking AI Strategy and Policy as Entangled Super Wicked Problems

Risk assessment at AGI companies: A review of popular risk assessment techniques from other safety-critical industries

Roadmap for the NIST Artificial Intelligence Risk Management Framework (AI RMF 1.0)

Should Artificial Intelligence Governance be Centralised? Design Lessons from History

Stanford Seminar - Human-Centered Explainable AI: From Algorithms to Use...

State of Ethics Report 2022 Volume 6

State-of-the-art Foundation AI Models Should be Accompanied by Detection Mechanisms as a Condition of Public Release 2023 Report

Strategic Implications of Openness in AI Development

The Case for a Global AI Observatory (GAIO), 2023

The Future of AI

The Future Perfect 50: Ajeya Cotra, senior research analyst at Open Philanthropy

The Governance of AI-based Information Technologies within Corporate Environments

The Hourglass Model of Organizational AI Governance

The Impact of Artificial Intelligence on the Future of Workforces in the European Union and the United States of America

The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse?

The Path to Trustworthy AI: G7 Outcomes and Implications for Global AI Governance

The road to building trust with AI systems

The road to building trust with AI systems

The shape of AI governance to come

The Value of Measuring Trust in AI – A Socio-Technical System Perspective

The Vulnerable World Hypothesis

The Wicked Problem of AI Governance - Anita Gurumurthy & Nandini Chami

Theory and rationale of interpretable all-in-one pattern discovery and disentanglement system | npj Digital Medicine

Towards Best Practices in AGI Safety and Governance

Towards Higher-Order & Disentangled XAI

Trust and Artificial Intelligence | NIST

Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient

Trust in Artificial Intelligence - A five country Study

Trust in artificial intelligence: From a Foundational Trust Framework to emerging research opportunities | SpringerLink

Trust Region Policy Optimization for POMDPs

Trust, control strategies and allocation of function in human-machine systems

Trustworthy AI Lab - Technology Innovation Management - https://carleton.ca/tim/trustworthyailab/

Trustworthy AI: Should We Trust Artificial Intelligence? | Caltech Science Exchange

Understanding trust in collaborative human-AI teams: its importance, formation, and evolution – Responsible Innovation Future Science Platform

Vectors of AI Governance

Warning Shots Probably Wouldn't Change The Picture Much — EA Forum

WEF The AI Governance Report

WEF_Model AI Governance Framework 2020

What is AI Governance & Why Do We Need It? - RevealGC

What’s next for AI – Building trust - https://www.ibm.com/watson/advantage-reports/future-of-artificial-intelligence/building-trust-in-ai.html

When to Trust Your Model: Model-Based Policy Optimization