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.
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Explainable AI is Responsible AI: How Explainability Creates Trustworthy and Socially Responsible Artificial Intelligence
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- Stephanie Baker, Wei Xiang
Responsible AI Research Needs Impact Statements Too
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- Alexandra Olteanu, Michael Ekstrand, Carlos Castillo, Jina Suh
A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications
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- 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
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- Marios Constantinides, Edyta Bogucka, Daniele Quercia, Susanna Kallio, Mohammad Tahaei
`It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges during Co-production of Responsible AI Values
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- Rama Adithya Varanasi, Nitesh Goyal
The Equitable AI Research Roundtable (EARR): Towards Community-Based Decision Making in Responsible AI Development
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- 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
Human-Centered Responsible Artificial Intelligence: Current & Future Trends
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- 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
What does it mean to be a responsible AI practitioner: An ontology of roles and skills
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- Shalaleh Rismani, AJung Moon
Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI
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- Mahima Pushkarna, Andrew Zaldivar, Oddur Kjartansson
Causal Learning for Socially Responsible AI
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- Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu
Responsible AI Challenges in End-to-end Machine Learning
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- Steven Euijong Whang, Ki Hyun Tae, Yuji Roh, Geon Heo
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges
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- Lu Cheng, Kush R. Varshney, Huan Liu
Training Ethically Responsible AI Researchers: a Case Study
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- Hang Yuan, Claudia Vanea, Federica Lucivero, Nina Hallowell
Where Responsible AI meets Reality: Practitioner Perspectives on Enablers for shifting Organizational Practices
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- Bogdana Rakova, Jingying Yang, Henriette Cramer, Rumman Chowdhury
Principles to Practices for Responsible AI: Closing the Gap
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- Daniel Schiff, Bogdana Rakova, Aladdin Ayesh, Anat Fanti, Michael Lennon