Responsible AI in the Software Industry: A Practitioner-Centered Perspective
Responsible AI principles provide ethical guidelines for developing AI systems, yet their practical implementation in software engineering lacks thorough investigation. Therefore, this study explores the practices and challenges faced by software practitioners in aligning with these principles. Through semi-structured interviews with 25 practitioners, we investigated their methods, concerns, and strategies for addressing Responsible AI in software development. Our findings reveal that while practitioners frequently address fairness, inclusiveness, and reliability, principles such as transparency and accountability receive comparatively less attention in their practices. This scenario highlights gaps in current strategies and the need for more comprehensive frameworks to fully operationalize Responsible AI principles in software engineering.
Tue 29 AprDisplayed time zone: Eastern Time (US & Canada) change
11:00 - 12:30 | |||
11:00 15mTalk | Using Drift Planning to Improve Safety of Visual Navigation in Unmanned Aerial Vehicles RAIE Jeffrey Hansen Carnegie Mellon Software Engineering Institute, Sebastian Echeverria Carnegie Mellon Software Engineering Institute, Lena Pons Carnegie Mellon Software Engineering Institute, Lihan Zhan Carnegie Mellon Software Engineering Institute, Gabriel A. Moreno Carnegie Mellon University Software Engineering Institute, P: Grace Lewis Carnegie Mellon Software Engineering Institute | ||
11:15 15mTalk | LLM-AQuA-DiVeR: LLM-Assisted Quality Assurance Through Dialogues on Verifiable Specification with Requirement Owners RAIE P: Shohei Mitani Georgetown University, Salonee Moona Triple Point Security, Shinichiro Matsuo Georgetown University, Eric Burger Virginia Tech | ||
11:30 12mTalk | Towards Ensuring Responsible AI for Medical Device Certification RAIE P: Giulio Mallardi University of Bari, Luigi Quaranta University of Bari, Italy, Fabio Calefato University of Bari, Filippo Lanubile University of Bari | ||
11:42 12mTalk | Navigating the landscape of AI test methods using taxonomy-based selection RAIE Maximilian Pintz Fraunhofer Institute for Intelligent Analysis and Information Systems, University of Bonn, Anna Schmitz Fraunhofer Institute for Intelligent Analysis and Information Systems, Rebekka Görge Fraunhofer Institute for Intelligent Analysis and Information Systems, P: Sebastian Schmidt Fraunhofer Institute for Intelligent Analysis and Information Systems, Daniel Becker , Maram Akila Fraunhofer Institute for Intelligent Analysis and Information Systems, Lamarr Institute, Michael Mock Fraunhofer Institute for Intelligent Analysis and Information Systems | ||
11:54 12mTalk | Responsible AI in the Software Industry: A Practitioner-Centered Perspective RAIE P: Matheus de Morais Leça University of Calgary, Mariana Pinheiro Bento University of Calgary, Ronnie de Souza Santos University of Calgary Pre-print | ||
12:06 12mTalk | The Privacy Pillar - A Conceptual Framework for Foundation Model-based Systems RAIE Tingting Bi The University of Melbourne, Guangsheng Yu University of Technology Sydney, Qin Wang CSIRO Data61 | ||