• Safety by Design for Generative AI: Preventing Child Sexual Abuse (Thorn & ATIH): In collaboration with Thorn and All Tech Is Human, Amazon, Anthropic, Civitai, Google, Invoke, Meta, Metaphysic, Microsoft, Mistral AI, OpenAI, and Stability AI have publicly committed to Safety by Design principles. These principles guard against the creation and spread of AI-generated child sexual abuse material (AIG-CSAM) and other sexual harms against children.

• The 2023 Responsible Tech Guide: Our annual comprehensive guide to the people, organizations, and ideas of the Responsible Tech ecosystem and actionable ways to get involved.

• The Business Case for AI Ethics: Interviews with 28 leaders in Responsible AI about ways to operationalize AI Ethics and move from theory to action.

• AI and Human Rights Report: This report outlines key issues and opportunities related to the intersection of AI and Human Rights, across seven key areas:  Automated Decision Making Systems and Civil Rights, Data Privacy, Synthetic Media and Information Integrity, Content Moderation, Healthcare, Surveillance Technology, Predictive Technology and Criminal Justice, Cybersecurity and Autonomous Weapons.

• Co-Creating a Better Tech Future: We explore community visions for what an ideal tech future looks like and what we would need to do in order to make that a reality. Based on dozens of new perspectives, along with the insight our non-profit has gathered from previous reports, our large global Slack community, and numerous summits and mixers we have held. 

• Responsible AI Governance Maturity Model Hackathon Report(TechBetter & ATIH): an interdisciplinary research project to develop a Responsible AI Governance Maturity Model that is rigorous, based on widely accepted resources, and empirically informed.

• Video: “What are the problems with considering the existential risks of #AI? w/ Dr. Joy Buolamwini”

• Video:Kashmir Hill in conversation with Rebekah Tweed | Your Face Belongs To Us Book Tour

• AI Incident Database (PAI): The AI Incident Database is dedicated to indexing the collective history of harms or near harms realized in the real world by the deployment of artificial intelligence systems. Like similar databases in aviation and computer security, the AI Incident Database aims to learn from experience so we can prevent or mitigate bad outcomes.

• AI Risk Management Framework (NIST): In collaboration with the private and public sectors, NIST has developed a framework to better manage risks to individuals, organizations, and society associated with artificial intelligence (AI). The NIST AI Risk Management Framework (AI RMF) is intended for voluntary use and to improve the ability to incorporate trustworthiness considerations into the design, development, use, and evaluation of AI products, services, and systems.

• EU AI Act (European Parliament): The use of artificial intelligence in the EU will be regulated by the AI Act, the world’s first comprehensive AI law.

• Generative AI Red Teaming Challenge: Transparency Report (Humane Intelligence): Humane Intelligence, Seed AI and AI Village partnered to hold the first public red teaming event for closed source API models at DEF CON 2023. This paper provides some insights into the potential and promise of public red teaming, framed around the Generative AI Red Teaming Challenge conducted at AI Village within DEF CON 31.

• Global AI Legislation Tracker (IAPP): Countries worldwide are designing and implementing AI governance legislation and policies commensurate to the velocity and variety of proliferating AI-powered technologies. This tracker identifies legislative or policy developments or both in a subset of jurisdictions.

• OECD AI Principles (OECD): Countries use the OECD AI Principles and related tools to shape policies and create AI risk frameworks, building a foundation for global interoperability between jurisdictions. The European Union, the Council of Europe, the United States, and the United Nations and other jurisdictions use the OECD’s definition of an AI system and lifecycle in their legislative and regulatory frameworks and guidance.

• AI Risk Repository (MIT): The AI Risk Repository has three parts: The AI Risk Database captures 700+ risks extracted from 43 existing frameworks, with quotes and page numbers. The Causal Taxonomy of AI Risks classifies how, when, and why these risks occur. The Domain Taxonomy of AI Risks classifies these risks into seven domains.

• AI Vulnerability Database (AVID): Open-source knowledge base of failure modes for AI models, datasets, and systems. Includes a taxonomy of the different avenues through which an AI system can fail, and a database of evaluation examples.

• Blueprint for an AI Bill of Rights (White House OSTP): White paper published by the White House Office of Science and Technology Policy. It is intended to support the development of policies and practices that protect civil rights and promote democratic values in the building, deployment, and governance of automated systems.

A large and growing number of impactful organizations are focused on Responsible AI. These organizations research, advocate, monitor, and evaluate AI systems to mitigate their known and potential harms, working to ensure that these tools are aligned with the public interest. If you're interested in responsible AI, here are a few organizations you should know:

Ada Lovelace Institute: An independent research institute with a mission to ensure that data and AI work for people and society. They believe that a world where data and AI work for people and society is a world in which the opportunities, benefits and privileges generated by data and AI are justly and equitably distributed and experienced.

AI Risk and Vulnerability Alliance (ARVA): Their mission is to empower communities to recognize, diagnose, and manage vulnerabilities in AI that affects them. Our vision is to work across disciplines to make AI safer for everyone by exposing vulnerabilities in the AI ecosystem. They build tools for practitioners and communities to interrogate the growing number of models capable of producing material harm to our world. Together they operationalize AI risk management to protect the future of our world.

Alan Turing Institute: The Alan Turing Institute, headquartered in the British Library, London, was created as the national institute for data science in 2015. In 2017, as a result of a government recommendation, they added artificial intelligence to their remit. 

Algorithmic Justice League: AJL’s mission is to raise public awareness about the impacts of AI, equip advocates with resources to bolster campaigns, build the voice and choice of the most impacted communities, and galvanize researchers, policymakers, and industry practitioners to prevent AI harms.

Center for AI and Digital Policy: The Center for AI and Digital Policy aims to ensure that artificial intelligence and digital policies promote a better society, more fair, more just, and more accountable – a world where technology promotes broad social inclusion based on fundamental rights, democratic institutions, and the rule of law. As an independent non-profit research organization, they assess national AI policies and practices, train AI policy leaders, and promote democratic values for AI.

Algorithmic Justice League: Their mission is to raise public awareness about the impacts of AI, equip advocates with resources to bolster campaigns, build the voice and choice of the most impacted communities, and galvanize researchers, policymakers, and industry practitioners to prevent AI harms.

Center for AI and Digital Policy: The Center for AI and Digital Policy aims to ensure that AI and digital policies promote a better society, more fair, more just, and more accountable–a world where technology promotes broad social inclusion based on fundamental rights, democratic institutions, and the rule of law. As an independent non-profit research organization, the Center for AI and Digital Policy assesses national AI policies and practices, trains AI policy leaders, and promotes democratic values for AI.

Data & Society Research Institute: Data & Society is an independent nonprofit research organization. They study the social implications of data, automation, and AI, producing original research to ground informed public debate about emerging technology. Data & Society believes that technology policy must be grounded in empirical evidence, account for tech’s real-world impacts, and serve the public.

Distributed AI Research Institute (DAIR): An interdisciplinary and globally distributed AI research institute rooted in the belief that AI is not inevitable, its harms are preventable, and when its production and deployment include diverse perspectives and deliberate processes it can be beneficial. Our research reflects our lived experiences and centers our communities.

ForHumanity: Their purpose is to examine and analyze the downside risks associated with the ubiquitous advance of AI & Automation. With the assistance of the ForHumanity Fellows, they developed Independent Audit and Governance of Contact Tracing. They are developing the larger work of Independent Audit of AI Systems to build an infrastructure of trust for the world's autonomous systems.

Humane Intelligence: Humane Intelligence is a tech nonprofit building a community of practice around algorithmic evaluations. The organization, led by Dr. Rumman Chowdhury, is building a programming platform for model evaluators and individuals seeking to learn more about model evaluations.

International Association of Algorithmic Auditors (IAAA): The IAAA is a community of practice that aims to advance and organize the algorithmic auditing profession, promote AI auditing standards, certify best practices and contribute to the emergence of Responsible AI.

Partnership on AI: Partnership on AI develops tools, recommendations, and other resources by inviting voices from across the AI community and beyond to share insights that can be synthesized into actionable guidance. They then work to drive adoption in practice, inform public policy, and advance public understanding. Through dialogue, research, and education, PAI is addressing the most important and difficult questions concerning the future of AI.

RAI Institute: The Responsible AI Institute (RAI Institute) is a global and member-driven non-profit dedicated to enabling successful responsible AI efforts in organizations. The RAI Institute’s conformity assessments and certifications for AI systems support practitioners as they navigate the complex landscape of creating, selling or buying AI products.

The Future Society: The Future Society (TFS) is an independent 501(c)(3) nonprofit organization based in the United States and Europe. Their mission is to align artificial intelligence through better governance. We develop, advocate for, and facilitate the implementation of AI governance mechanisms, ranging from laws and regulations to voluntary frameworks such as global principles, norms, standards, and corporate policies

Women in AI Ethics: Women in AI Ethics™ (WAIE) is a fiscally sponsored project of Social Good Fund, a California nonprofit corporation and registered 501(c)(3) organization with a mission to increase recognition, representation, and empowerment of brilliant women in this space who are working hard to save humanity from the dark side of AI.

See a full list of organizations:http://www.alltechishuman.org/responsible-tech-organizations