Speaker Bio
Dr. Heloisa Candello is a Senior Research Scientist at the Responsible Tech group at IBM Research – Brazil, where she works with a team of talented researchers, software engineers and designers on innovative AI solutions. She has been with IBM for over 10 years, applying her expertise in user research and user experience design to create engaging and ethical AI interactive systems, especially conversational interfaces. With a PhD in Human-Computer Interaction, Dr. Candello is passionate about exploring the design issues and opportunities involved in human-AI collaboration. She has published multiple papers in prestigious conferences and journals and received an honorable mention award at CHI 2019. Heloisa is currently serving as ACM Distinguished Speaker of ACM Distinguished Speaker Program, and an active volunteer and contributor to the ACM SIGCHI community, where she served as a member of the Volunteer Development Committee for two years and now is a co-chair of the LATAM committee, and CUI Steering committee. Her goal is to advance the field of HCI and AI, and to empower people with the support of responsible AI technologies.
A human-centered approach to responsible conversational user interfaces
Heloisa Candello, IBM Research Brazil
Thursday 28th November 2024. 14:00-15:00 GMT. Online.
Responsible AI has been a popular topic in academic and industry settings with the advent of conversational AI based on generative models in the last two years. Despite the growing scientific research in this field, what should be considered when designing for responsibility in conversational AI interactions is still being investigated. In this talk, I will revisit some of the CUI work our community has been publishing in the last six years and my projects in education and finance to unveil the main considered definitions, criteria, and methodologies for designing responsible AI systems. We will discuss responsible AI in public and private settings and human values identified as essential to design responsible CUIs. Our research projects have investigated how to foster trust, accountability, transparency, fairness, and acceptance of conversational user interfaces deployed in natural settings with diverse audiences. Furthermore, we will discuss how bias emerged as a criterion when interacting with CUIs in museum settings, how we investigated accountability and trust embedded into financial advisors’ chatbots, and our recent work into elucidating values such as creditworthiness with micro businesswomen in underrepresented communities using conversational systems. This talk can serve as the basis for further discussions during the conference on promoting social impact and mitigating harm when designing conversational generative systems with responsibility.