This talk will discuss the human tendency to over-trust technology, especially AI. It will explore the psychological reasons behind this phenomenon by articulating key aspects of the speaker’s theoretical models that are supported by empirical data. It will outline the consequences of trusting technology too much, and make the case for practicing socially responsible AI.
Speaker: S. Shyam Sundar | Director, Center for Socially Responsible Artificial Intelligence
In his famous Nobel lecture, Herbert Kroemer stated, “The interface is the device”, referring to the remarkable properties found at the junctions where layers of different materials meet. However, if the interface is to become the device, then understanding it at the atomic scale is essential. In this talk, I will discuss the important roles interfaces play in boosting the performance and stability of established and emergent technologies such as solar cells, rechargeable batteries, and photoelectrochemical cells. I will specifically highlight the challenges and opportunities for atomistic computer simulations to complement experiments in the exploration of interfacial structures and properties.
Speaker: Nelson Dzade | Energy & Mineral Engineering
The integration of Artificial Intelligence (AI) into social work practices presents an innovative pathway to address complex social issues with greater precision, efficiency, and personalized care. This talk delves into the transformative potential of AI in redefining the landscape of social work, offering insights into how cutting-edge technologies can augment traditional methodologies to better serve individuals and communities in need.
Speaker: Amulya Yadav | College of Information Science & Technology
Chirality, or non-superimposable mirror image structures are common across the natural world (think left and right hands). Even at the nanoscale, proteins are chiral molecules where their specific structure (left or right hand) drives function. In my group, we leverage sequence-definition and enantiomeric-control of synthetic peptides to tune the chirality and shape of nanoparticles. I will discuss how such nanoparticles can enable discovery of next-generation sensors.
Speaker: Nairiti Sinha | Materials Science & Engineering
Blackouts are common in college students and are associated with increased alcohol-related harms. Self-report is the most common way to assess college student drinking but becomes less reliable at higher quantities of alcohol consumption. Self-report also does not tell us how students are drinking, which may be important in the prediction of harm. In this talk, I will discuss the use of alcohol biosensors to measure the manner in which students drink to predict the occurrence of alcohol-induced blackouts. I am interested in exploring other novel approaches, including the development of new sensors to address alcohol-related harm reduction.
Speaker: Veronica Richards | Edna Bennett Pierce Prevention Research Center