Moderator:
Maria Pia Fanti, Polytechnic University of Bari, Italy
Bengt Lennartson, Chalmers University, Sweden
Participants/Speakers:
Aude Billard, EPFL STI IMT LASA, Swisse
Title: Should we start listing domains where not to deploy automation?
Ken Goldberg, University of California Berkeley, USA
Title: Building Sustainable and Trustworthy AI for Sorting 100 Million E-Commerce Packages.
Andra Keay, Silicon Valley Robotics, USA
Title: Five levels of sustainability for robotics: a conceptual framework
Birgit Vogel-Heuser, Technical University of Munich, Germany
Title: Using Design and operation knowledge to increase trustworthiness of AI in Automation
Description:
As AI-driven automation rapidly transforms industries, questions of sustainability and trust have moved to the forefront. How can we ensure that automated systems are not only efficient and innovative, but also environmentally responsible, transparent, fair, and accountable?
This panel brings together experts from industry, research, and policy to explore how Sustainable and Trustworthy AI can be designed, deployed, and governed in real-world automation contexts. Panelists will discuss practical strategies to reduce the environmental footprint of AI systems, address bias and reliability in automated decision-making, and build user and public trust through transparency and oversight.
Through real-world examples and cross-sector perspectives, the session will highlight current challenges, emerging standards, and actionable best practices. Attendees will gain insights into how organizations can balance performance, responsibility, and long-term impact as they scale AI-powered automation.
This panel is designed for a diverse audience interested in the development and use of AI in automation, including practitioners and decision-makers working in AI, automation, manufacturing, robotics, IT, and related sectors who want to implement AI systems that are efficient, responsible, and aligned with sustainability goals; faculty and lecturers in AI exploring the theoretical and societal implications of AI-driven automation; and researchers and PhD students investigating trustworthy AI, green AI, human-centered automation, and governance frameworks who are looking to exchange ideas and learn about real-world challenges.