The Privacy Pillar - A Conceptual Framework for Foundation Model-based Systems
This program is tentative and subject to change.
AI and its relevant technologies are currently undergoing a profound transformation of development and organizational processes within companies. Foundation models present both significant challenges and incredible opportunities. In this context, ensuring the quality attributes is of importance, and with a particular focus on the challenging issue of privacy due to the sensitive nature of the data and information involved.
However, there is currently a lack of consensus regarding the scope of both technical and non-technical issues that the privacy evaluation process should encompass. Additionally, there is uncertainty about which existing methods are best suited to effectively address these privacy concerns. In response to this challenge, this paper introduces a novel conceptual framework that integrates various responsible AI patterns from multiple perspectives, with the specific aim of safeguarding privacy.
This program is tentative and subject to change.
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, 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 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 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, 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 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 | ||