Sr. Research Scientist, Human-Machine Interaction, Carnegie Mellon & Posters Chair
Carol Smith (@carologic) has been conducting UX research studies to understand people and context in complex situations and to improve the human experience across industries for over 20 years. She has been leading research to integrate ethics and improve human experiences with artificially intelligent (AI) systems, autonomous vehicles, and other emerging technologies since 2015. Carol is a senior research scientist in human-machine interaction at the Carnegie Mellon University Software Engineering Institute and an adjunct instructor for CMU’s Human-Computer Interaction Institute. Carol holds an M.S. in HCI from DePaul University.
Artificial intelligence (AI) is emerging in every industry – met by enthusiasm and concerns. In our work, we seek to foster a healthy, trustworthy relationship between human and machine, placing the machine in a service role to enable human outcomes and understanding. Successful AI will be achieved through the creation of emergent human-AI collaborations that […]
In 1951, Paul Fitts published a seminal paper allocating functions to humans or machines based on the relative proficiency for each. In the 70 years since this list was published, significant advances in the field artificial intelligence (AI) necessitate another look. In this presentation, the authors propose new guidance on allocation of functions between humans […]
Integrating ethics with user experience efforts, and implementing ethical principles across organizations, is (thankfully) becoming more common in our industry. You will learn actionable tools, techniques, and methods that empower you and your team to implement and practice ethical design. This workshop is for senior level UX practitioners, managers and other leaders within product and […]