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AI Governance Papers

Explore cutting-edge AI governance papers addressing responsible machine learning, ethical frameworks, international institutions, and more in our comprehensive collection.

Responsible Machine Learning Systems

Responsible Machine Learning Systems

  • Papers
  • Naveep Gill, Abhishek Mathur, Marcos V. Conde

Unlock the potential of AI responsibly! Explore the critical role of AI governance in managing risks and maximizing value for organizations of all sizes and industries.

Ethics Framework for Sustainable AI

Ethics Framework for Sustainable AI

  • Papers
  • Dr Mahendra Samarawickrama

Explore the transformative impact of AI on technology, emphasizing ethics and governance. Learn about emerging risks like autonomous weapons, job loss, bias, and deepfakes.

If our aim is to build morality into an artificial agent, how might we begin to go about doing so?

If our aim is to build morality into an artificial agent, how might we begin to go about doing so?

  • Papers
  • Reneira Seeamber, Cosmin Badea

Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond

Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond

  • Papers
  • Sidra Nasir, Rizwan Ahmed Khan, Samita Bai

Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust

Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust

  • Papers
  • Teresa Scantamburlo, Atia Cortés, Francesca Foffano, Cristian Barrué, Veronica Distefano, Long Pham, Alessandro Fabris

International Institutions for Advanced AI

International Institutions for Advanced AI

  • Papers
  • Lewis Ho, Joslyn Barnhart, Robert Trager, Yoshua Bengio, Miles Brundage, Allison Carnegie, Rumman Chowdhury, Allan Dafoe, Gillian Hadfield, Margaret Levi, Duncan Snidal

Reconciling Governmental Use of Online Targeting With Democracy

Reconciling Governmental Use of Online Targeting With Democracy

  • Papers
  • Katja Andric, Atoosa Kasirzadeh

Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs

Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs

  • Papers
  • Sanna J. Ali, Angèle Christin, Andrew Smart, Riitta Katila

How to design an AI ethics board

How to design an AI ethics board

  • Papers
  • Jonas Schuett, Anka Reuel, Alexis Carlier

Thinking Upstream: Ethics and Policy Opportunities in AI Supply Chains

Thinking Upstream: Ethics and Policy Opportunities in AI Supply Chains

  • Papers
  • David Gray Widder, Richmond Wong

Data-Centric Governance

Data-Centric Governance

  • Papers
  • Sean McGregor, Jesse Hostetler

Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity

Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity

  • Papers
  • Terry Yue Zhuo, Yujin Huang, Chunyang Chen, Zhenchang Xing

Against Algorithmic Exploitation of Human Vulnerabilities

Against Algorithmic Exploitation of Human Vulnerabilities

  • Papers
  • Inga Strümke, Marija Slavkovik, Clemens Stachl

A Brief Overview of AI Governance for Responsible Machine Learning Systems

A Brief Overview of AI Governance for Responsible Machine Learning Systems

  • Papers
  • Navdeep Gill, Abhishek Mathur, Marcos V. Conde

Best Practices in the Creation and Use of Emotion Lexicons

Best Practices in the Creation and Use of Emotion Lexicons

  • Papers
  • Saif M. Mohammad

Good Intentions, Bad Inventions: How Employees Judge Pervasive Technologies in the Workplace

Good Intentions, Bad Inventions: How Employees Judge Pervasive Technologies in the Workplace

  • Papers
  • Marios Constantinides, Daniele Quercia

How Do AI Timelines Affect Existential Risk?

How Do AI Timelines Affect Existential Risk?

  • Papers
  • Stephen McAleese

AI Ethics: An Empirical Study on the Views of Practitioners and Lawmakers

AI Ethics: An Empirical Study on the Views of Practitioners and Lawmakers

  • Papers
  • Arif Ali Khan, Muhammad Azeem Akbar, Mahdi Fahmideh, Peng Liang, Muhammad Waseem, Aakash Ahmad, Mahmood Niazi, Pekka Abrahamsson

AI Challenges for Society and Ethics

AI Challenges for Society and Ethics

  • Papers
  • Jess Whittlestone, Sam Clarke

The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning

The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning

  • Papers
  • Cherie M Poland

The Fallacy of AI Functionality

The Fallacy of AI Functionality

  • Papers
  • Inioluwa Deborah Raji, I. Elizabeth Kumar, Aaron Horowitz, Andrew D. Selbst

Think About the Stakeholders First! Towards an Algorithmic Transparency Playbook for Regulatory Compliance

Think About the Stakeholders First! Towards an Algorithmic Transparency Playbook for Regulatory Compliance

  • Papers
  • Andrew Bell, Oded Nov, Julia Stoyanovich

The Forgotten Margins of AI Ethics

The Forgotten Margins of AI Ethics

  • Papers
  • Abeba Birhane, Elayne Ruane, Thomas Laurent, Matthew S. Brown, Johnathan Flowers, Anthony Ventresque, Christopher L. Dancy

What does it mean to be a responsible AI practitioner: An ontology of roles and skills

What does it mean to be a responsible AI practitioner: An ontology of roles and skills

  • Papers
  • Shalaleh Rismani, AJung Moon

Contextualizing Artificially Intelligent Morality: A Meta-Ethnography of Top-Down, Bottom-Up, and Hybrid Models for Theoretical and Applied Ethics in Artificial Intelligence

Contextualizing Artificially Intelligent Morality: A Meta-Ethnography of Top-Down, Bottom-Up, and Hybrid Models for Theoretical and Applied Ethics in Artificial Intelligence

  • Papers
  • Jennafer S. Roberts, Laura N. Montoya

Big data ethics, machine ethics or information ethics? Navigating the maze of applied ethics in IT

Big data ethics, machine ethics or information ethics? Navigating the maze of applied ethics in IT

  • Papers
  • Niina Zuber, Severin Kacianka, Jan Gogoll

Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics

Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics

  • Papers
  • Richmond Y. Wong, Michael A. Madaio, Nick Merrill

Expose Uncertainty, Instill Distrust, Avoid Explanations: Towards Ethical Guidelines for AI

Expose Uncertainty, Instill Distrust, Avoid Explanations: Towards Ethical Guidelines for AI

  • Papers
  • Claudio S. Pinhanez

Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis

Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis

  • Papers
  • Saif M. Mohammad

Institutionalising Ethics in AI through Broader Impact Requirements

Institutionalising Ethics in AI through Broader Impact Requirements

  • Papers
  • Carina Prunkl, Carolyn Ashurst, Markus Anderljung, Helena Webb, Jan Leike, Allan Dafoe

A blindspot of AI ethics: anti-fragility in statistical prediction

A blindspot of AI ethics: anti-fragility in statistical prediction

  • Papers
  • Michele Loi, Lonneke van der Plas

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

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

  • Papers
  • Carina Prunkl, Jess Whittlestone

U.S. Public Opinion on the Governance of Artificial Intelligence

U.S. Public Opinion on the Governance of Artificial Intelligence

  • Papers
  • Baobao Zhang, Allan Dafoe

Fairness Assessment for Artificial Intelligence in Financial Industry

Fairness Assessment for Artificial Intelligence in Financial Industry

  • Papers
  • Yukun Zhang, Longsheng Zhou