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Responsible AI Papers

Explore a curated collection of insightful papers delving into the ethical dimensions, governance frameworks, and societal impact of Responsible AI. Stay informed on cutting-edge research shaping the responsible development of artificial intelligence.

Responsible AI Research Needs Impact Statements Too

Responsible AI Research Needs Impact Statements Too

  • Papers
  • Alexandra Olteanu, Michael Ekstrand, Carlos Castillo, Jina Suh

A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications

A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications

  • Papers
  • Ahmed Magooda, Alec Helyar, Kyle Jackson, David Sullivan, Chad Atalla, Emily Sheng, Dan Vann, Richard Edgar, Hamid Palangi, Roman Lutz, Hongliang Kong, Vincent Yun, Eslam Kamal, Federico Zarfati, Hanna Wallach, Sarah Bird, Mei Chen

A Method for Generating Dynamic Responsible AI Guidelines for Collaborative Action

A Method for Generating Dynamic Responsible AI Guidelines for Collaborative Action

  • Papers
  • Marios Constantinides, Edyta Bogucka, Daniele Quercia, Susanna Kallio, Mohammad Tahaei

The Equitable AI Research Roundtable (EARR): Towards Community-Based Decision Making in Responsible AI Development

The Equitable AI Research Roundtable (EARR): Towards Community-Based Decision Making in Responsible AI Development

  • Papers
  • Jamila Smith-Loud, Andrew Smart, Darlene Neal, Amber Ebinama, Eric Corbett, Paul Nicholas, Qazi Rashid, Anne Peckham, Sarah Murphy-Gray, Nicole Morris, Elisha Smith Arrillaga, Nicole-Marie Cotton, Emnet Almedom, Olivia Araiza, Eliza McCullough, Abbie Langston, Christopher Nellum

A Pathway Towards Responsible AI Generated Content

A Pathway Towards Responsible AI Generated Content

  • Papers
  • Chen Chen, Jie Fu, Lingjuan Lyu

Human-Centered Responsible Artificial Intelligence: Current & Future Trends

Human-Centered Responsible Artificial Intelligence: Current & Future Trends

  • Papers
  • Mohammad Tahaei, Marios Constantinides, Daniele Quercia, Sean Kennedy, Michael Muller, Simone Stumpf, Q. Vera Liao, Ricardo Baeza-Yates, Lora Aroyo, Jess Holbrook, Ewa Luger, Michael Madaio, Ilana Golbin Blumenfeld, Maria De-Arteaga, Jessica Vitak, Alexandra Olteanu

Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI

Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI

  • Papers
  • Mahima Pushkarna, Andrew Zaldivar, Oddur Kjartansson

Causal Learning for Socially Responsible AI

Causal Learning for Socially Responsible AI

  • Papers
  • Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu

Responsible AI Challenges in End-to-end Machine Learning

Responsible AI Challenges in End-to-end Machine Learning

  • Papers
  • Steven Euijong Whang, Ki Hyun Tae, Yuji Roh, Geon Heo

Training Ethically Responsible AI Researchers: a Case Study

Training Ethically Responsible AI Researchers: a Case Study

  • Papers
  • Hang Yuan, Claudia Vanea, Federica Lucivero, Nina Hallowell

Principles to Practices for Responsible AI: Closing the Gap

Principles to Practices for Responsible AI: Closing the Gap

  • Papers
  • Daniel Schiff, Bogdana Rakova, Aladdin Ayesh, Anat Fanti, Michael Lennon