This volume contains the papers presented at the Ethics and Trust in Human-AI Collaboration: SocioThese papers were selected by an international program committee among all those submitted to the symposium through an open call. 1. Aim of the workshop It is increasingly acknowledged that AI needs to be used to augment human intelligence, rather than replacing it. It is reasonable and useful to automate some tasks, but most of the tasks will be tackled by combining the complementary capabilities of humans and machines.
(K. B. Venable) risk of value misalignment. Trust and ethics need to be a central and integral aim of the design, development, and use of human-AI collaboration systems, just as decision quality. We need to have better decisions than humans or machines alone, while achieving trust and resolving ethical issues.
To achieve this, we can and should exploit knowledge of how humans make decisions and interact with others (humans or artificial agents). Thus cognitive theories or knowledge from other cognitive sciences are essential to achieve these goals.
This workshop aims to connect three main areas of study: Human-AI collaborative environments, Ethics and Trust, and Cognitive theories of the human mind. We envision an audience of scholars from at least these three disciplines, that can interact and exchange ideas and solutions.
The symposium website can be found at this URL: https://sites.google.com/view/ethaics-2023/
The program committee included the following researchers, who reviewed papers and made the ifnal decisions about acceptance for presentation and inclusion in the proceedings. We received a total of 8 submissions, of which 6 have been accepted.
• Claudia Passos Ferreira (New York University) • Cristina Cornelio (Samsung Research) • Lirong Xia (RPI) • Michele Loi (Politecnico di Milano) • Sujoy Sikdar (Binghamton University) • Toby Walsh (UNSW Sydney) • Umberto Grandi (IRIT, Université Toulouse Capitole)
The workshop was organized by the following researchers, with the support of the IJCAI ofice. • Marianna Bergamaschi Ganapini (Union College) • Andrea Loreggia (University of Brescia) • Nicholas Mattei (Tulane University) • Francesca Rossi (IBM Research) • Biplav Srivastava (AI Institute) • Brent Venable (University of South Florida and IHMC)