Artificial intelligence (AI) promises to automate and scale solutions to perennial accessibility challenges (e.g., generating image descriptions for blind users). However, research shows that AI-bias disproportionately impacts people already marginalized based on their race, gender, or disabilities, raising questions about potential impacts in addition to AI’s promise. In this talk, Cynthia Bennett will overview broad concerns at the intersection of AI, disability, and accessibility. She will then share details about one project in this research space that led to guidance on human and AI-generated image descriptions that account for subjective and potentially sensitive descriptors around race, gender, and disability of people in images.
Well-being, also known as prudential value, refers to whatever makes a life non-instrumentally good for the person living it. Well-being is the object of immense practical, philosophical, and scientific concern. Assessments of well-being help to guide our decisions in everyday life, from relationships, to health decisions, to education and career choices. Well-being is increasingly the object of governmental and institutional policy, and even policies that are not aimed directly at promoting it can be evaluated in terms of their impacts on well-being. Colleges and universities routinely offer programs designed to help students maintain their well-being in the face of academic and personal stress. However, debates over the nature of well-being have raged since the beginning of philosophical inquiry, leaving us in a bad position when it comes to making headway on addressing those practical and scientific concerns. The goal of this talk is to show how the application of naturalistic methodology can help us to resolve the philosophical stalemate and thus to make progress in our practical and scientific projects relating to well-being.
-
Talk link — Email cruzdavis <at> umass.edu or jrc2266 <at> columbia.edu for the passcode
How does the brain cope with Complexity? How do we make decisions when confronted with practically infinite streams of information?
The conference showcases cutting edge research on these questions in Neuroscience and Psychology (neural mechanisms of cognitive control, exploration, decision-making, information demand, memory and creativity), Computer Science (artificial intelligence of curiosity and intrinsic motivation) and Economics (decision making and information demand). Alongside formal presentations, the conference will encourage ample interactions among faculty, students and postdocs through informal discussions and poster presentations.
Submissions for poster presentations and travel awards are due February 15, 2023. Please visit the call for submissions for complete requirements.
Event Information
Free and open to the public. Registration is required and will open shortly. All in-person attendees must follow Columbia’s COVID-19 policies. Visitors will be asked to provide proof of COVID-19 vaccination. Online attendees will receive a Zoom link. Please email events@zi.columbia.edu with any questions.