April 8, 2025 (Tuesday) 11:30am-12:45pm, UNC Charlotte Student Union Movie Theater and on Zoom
The speaker is Presidential Research, Scholarship and Artistry Professor in the Department of Communication at Northern Illinois University (USA) and Professor of Applied Ethics at Łazarski University in Warsaw, Poland. He is an award-winning educator, researcher, and author, specializing in the philosophy of technology with a focus on the moral and legal challenges of artificial intelligence and robots. He is the author of over 100 scholarly articles and has published seventeen books, including Thinking Otherwise: Philosophy, Communication, Technology (Purdue University Press 2007), The Machine Question: Critical Perspectives on AI, Robots, and Ethics (MIT Press 2012), Robot Rights (MIT Press 2018), and Person, Thing, Robot: A Moral and Legal Ontology for the 21st Century and Beyond (MIT Press 2023
Click here for in-person registration
Click here for zoom/hybrid
Tuesday, March 4⋅1:00 – 2:00pm, Virtual
The Center's third meeting will be a discussion about planning for the AI Summit at Charlotte
Email ghull@charlotte.edu for invite details
Feb 27, 2025, Charlotte, NC
Our February research highlight features Dr. Jordan Register, a Faculty Development Specialist with the Center for Teaching and Learning. She earned her Ph.D. in Curriculum and Instruction from the Urban Mathematics Education program and a Master's Certification in Data Science from the University of North Carolina at Charlotte. In this interview, Dr. Register shares his journey into the field of AI, insights into the challenges and opportunities in AI education, and her approach to faculty development.
Dr. Jordan’s areas of expertise are in Critical Mathematics Education, Data Science, Ethics, and the Design Research Approach to instructional design. Much of her research to date is centered around developing curricula and pedagogy that foster students critical ethical reasoning and decision making in data science. The societal impacts of AI and Machine Learning are a major part of her current and future work.
Dr. Register also highlights two must-read books for anyone interested in AI: Automating Inequality by Virginia Eubanks and Data Feminism, by D’Ignazio and Klein, In particular, Data Feminism describes the privilege hazard that occurs when teams of data scientists create systems that reflect the needs and experiences of their privileged creators while Automating Inequality discusses the detrimental impacts of automating access to social services.
Read the full interview here to learn more about Dr. Register's contributions and advice for those looking to engage with CHAIS and AI research.
Monday, November 25⋅12:00 – 1:00pm, Winningham 107, Charlotte, NC
The Center's second meeting will bea discussion about planning for a white paper
Email ghull@charlotte.edu for invite details
NOV. 15, 2024, Charlotte, NC
Our November research highlight features Dr. Gordon Hull, a Professor of Philosophy and Public Policy, Director of the Center for Professional and Applied Ethics, and Affiliate of the School of Data Science at UNC Charlotte. In this interview, Dr. Hull shares his journey into the field of AI, insights into the challenges and opportunities in AI ethics, and his interdisciplinary research approach.
From his start in privacy and data governance to his current focus on trustworthy AI, AI literacy, and equity, Dr. Hull emphasizes the importance of embedding ethical considerations into the design and governance of AI systems. His recent work explores algorithmic governance and the intersection of social values and AI-generated language models.
Dr. Hull also highlights two must-read books for anyone interested in AI: Automating Inequality by Virginia Eubanks and Atlas of AI by Kate Crawford, which examine the social and ethical implications of algorithmic systems.
Read the full interview here to learn more about Dr. Hull's contributions and advice for those looking to engage with CHAIS and AI research.
NOV. 1, 2024 10:00 AM -1:00 PM Student Union Room 200,Charlotte, NC
The Center hosted its first Fall symposium centered in HUMANITIES AND SOCIAL SCIENCE PERSPECTIVES ON THE FUTURE OF A HUMAN-CENTRIC AI THING
10:15-10:45 Public Attitudes about AI (Jason Windett, POLS and SDS; Cori Faklaris, Software and Information Systems)
10:45-11:15 Preparing for Pandemics and Understanding Human Health with AI (Colby T. Ford, CIPHER)
11:15-11:45 Keeping up with AI, and How Recommender Systems Change Evidence Accumulation (Wenwen Dou, Computer Science and Ribarsky Center for Visual Analytics)
11:45-12:00 Break
12:00-12:30 Grounding the AI Ecosystem in the Human Identity (Yash Tadimalla & Mary Lou Maher, SIS)
12:30-1:00 Roundtable discussion
The program is available here.
Monday, September 30⋅ 11:00am – 1:00pm Cone 113 , Charlotte, NC
The Centers First presentation will be on AI Literacy for All: An Adjustable Interdisciplinary Framework for AI Literacy
Dr. Mary Lou Maher and Mr. Yash Tadimalla will present and discuss a framework for AI Literacy that is comprehensive and flexible. It can be applied from K12 to higher ed as well as to the adult work force and the general public. The AI framework under discussion suggests "a shift in AI literacy education to offer a more interdisciplinary socio-technical approach as a pathway to broaden participation in AI. This approach not only broadens students’ perspectives but also prepares them to think critically about integrating AI into their future professional and personal lives."
Their paper is available online here: https://arxiv.org/abs/2409.10552
Email ghull@charlotte.edu for invite details
Friday, September 27, Charlotte, NC
The Center is kicking of the Fall semester by announcing the Website and Members.
Jan 30 2024, Charlotte, NC
The Center for Humane AI Studies brings together thought leaders in multiple disciplines to develop an agenda of interdisciplinary social-sciences and humanities-led research, with input from computational and health sciences, on the ways that AI intersects with social crises.
The research program will identify and study the ways that AI can both exacerbate and ameliorate social crises.