Thu 18 May 2023 14:52 - 15:00 at Meeting Room 104 - AI bias and fairness Chair(s): Amel Bennaceur
The resurgence of Artificial Intelligence (AI) has been accompanied by a rise in ethical issues. AI practitioners either face challenges in making ethical choices when designing AI-based systems or are not aware of such challenges in the first place. Increasing the level of awareness and understanding the perceptions of those who develop AI systems is a critical step toward mitigating ethical issues in AI development. Motivated by these challenges and needs and the lack of engaging approaches to address these, we developed an interactive, scenario-based ethical AI quiz that allows AI practitioners, including software engineers who develop AI systems, to self-assess their awareness and perceptions about AI ethics. The experience of taking the quiz, and the feedback it provides, will help AI practitioners understand the gap areas, debate and discuss ethical AI principles and issues together, and improve their overall ethical practice in everyday development scenarios. To demonstrate these expected outcomes and the relevance of our tool, we also share a preliminary user study. The video demo can be found at https://youtu.be/DwLLJvUWhQE.
Thu 18 MayDisplayed time zone: Hobart change
10:30 - 11:00 | |||
10:30 30mTalk | What Would You do? An Ethical AI Quiz DEMO - Demonstrations Wei Teo Monash University, Ze Teoh Monash University, Dayang Abang Arabi Monash University, Morad Aboushadi Monash University, Khairenn Lai Monash University, Zhe Ng Monash University, Aastha Pant Monash Univeristy, Rashina Hoda Monash University, Kla Tantithamthavorn Monash University, Burak Turhan University of Oulu Pre-print Media Attached | ||
13:45 - 15:15 | AI bias and fairnessDEMO - Demonstrations / Technical Track / Journal-First Papers at Meeting Room 104 Chair(s): Amel Bennaceur The Open University, UK | ||
13:45 15mTalk | Towards Understanding Fairness and its Composition in Ensemble Machine Learning Technical Track Usman Gohar Dept. of Computer Science, Iowa State University, Sumon Biswas Carnegie Mellon University, Hridesh Rajan Iowa State University Pre-print | ||
14:00 15mTalk | Fairify: Fairness Verification of Neural Networks Technical Track Pre-print | ||
14:15 15mTalk | Leveraging Feature Bias for Scalable Misprediction Explanation of Machine Learning Models Technical Track Jiri Gesi University of California, Irvine, Xinyun Shen University of California, Irvine, Yunfan Geng University of California, Irvine, Qihong Chen University of California, Irvine, Iftekhar Ahmed University of California at Irvine | ||
14:30 15mTalk | Information-Theoretic Testing and Debugging of Fairness Defects in Deep Neural Networks Technical Track Verya Monjezi University of Texas at El Paso, Ashutosh Trivedi University of Colorado Boulder, Gang (Gary) Tan Pennsylvania State University, Saeid Tizpaz-Niari University of Texas at El Paso Pre-print | ||
14:45 7mTalk | Seldonian Toolkit: Building Software with Safe and Fair Machine Learning DEMO - Demonstrations Austin Hoag Berkeley Existential Risk Initiative, James E. Kostas University of Massachusetts, Bruno Castro da Silva University of Massachusetts, Philip S. Thomas University of Massachusetts, Yuriy Brun University of Massachusetts Pre-print Media Attached | ||
14:52 7mTalk | What Would You do? An Ethical AI Quiz DEMO - Demonstrations Wei Teo Monash University, Ze Teoh Monash University, Dayang Abang Arabi Monash University, Morad Aboushadi Monash University, Khairenn Lai Monash University, Zhe Ng Monash University, Aastha Pant Monash Univeristy, Rashina Hoda Monash University, Kla Tantithamthavorn Monash University, Burak Turhan University of Oulu Pre-print Media Attached | ||
15:00 7mTalk | Search-Based Fairness Testing for Regression-Based Machine Learning Systems Journal-First Papers Anjana Perera Oracle Labs, Australia, Aldeida Aleti Monash University, Kla Tantithamthavorn Monash University, Jirayus Jiarpakdee Monash University, Australia, Burak Turhan University of Oulu, Lisa Kuhn Monash University, Katie Walker Monash University Link to publication DOI | ||
15:07 7mTalk | FairMask: Better Fairness via Model-based Rebalancing of Protected Attributes Journal-First Papers Kewen Peng North Carolina State University, Tim Menzies North Carolina State University, Joymallya Chakraborty North Carolina State University Link to publication Pre-print | ||