As artificial intelligence becomes more prevalent, regulators are increasingly turning to legal measures such as “a right to explanation” to protect against potential risks raised by AI systems. However, are eXplainable AI (XAI) tools, the machine learning techniques that provide such explanations, up to the task?
This talk critically examines XAI’s potential to facilitate the right to explanation by applying the prism of reason-giving’s role in law. Applying this analytical framework to XAI’s generated explanations reveals that XAI struggles to fulfill the underlying objectives of the right to explanation. The disparity between human decision-making and automated decisions makes XAI an insufficient and at times even a risky tool, raising the question: do we really want eXplainable AI?
Hofit Wasserman-Rozen, Adv., is a research fellow at the Chief Justice Meir Shamgar Center for Digital Law and Innovation,and a PhD candidate in law and artificial intelligence at Tel Aviv University’s law faculty. Her PhD research focuses on regulatory and policy implications of AI systems, with a current emphasis on the right to explanation and explainability. Hofit advises on responsible AI, teaches responsible AI and data science ethics at Tel Aviv University, and holds a business position at a global tech firm in Israel. Hofit is a licensed attorney in Israel and has vast experience as a commercial lawyer at top law firms. Her LLB and LLM (both Cum Laude) are from Tel Aviv University. She is also a graduate of the Program in Organizational Consultation & Development: A Psychoanalytic-Systemic Approach (Ofek Group- Relations inIsrael and the Tavistock Institute in London).
| 8:45 | Reception |
|---|---|
| 9:30 | Opening remarks by WiDS TLV ambassadors |
| 9:45 | Dr. Mor Geva , Tel Aviv University: “MRI for Large Language Models: Mechanistic Interpretability from Neurons to Attention Heads” |
| 10:15 |
Panel: “Pioneering Progress: a strategic look at the GenAI revolution and the new role of data scientists“ Shani Gershtein, Melingo Mirit Elyada Bar, Intuit Dr. Asi Messica, Lightricks Moderated by Nitzan Gado, Intuit |
| 10:45 | Poster pitches |
| 10:55 | Break |
| 11:10 | Lightning talks session |
| 12:30 | Lunch & poster session |
|---|---|
| 13:30 | Roundtable session & poster session |
| 14:30 | Roundtable closing |
| 14:40 | Shunit Agmon, Technion: “Bridging the Gender Gap in Clinical AI: Temporal Adaptation with TeDi-BERT” |
| 15:00 | Shaked Naor Hoffmann, Apartment List: “Building Generative AI Agents for Production: Turning Ideas into Real-World Applications” |
| 15:20 | Closing remarks |
| 15:30 | The end |
WiDS Tel Aviv is an independent event that is organized by Intuit’s WiDS TLV ambassadors as part of the annual WiDS Worldwide conference, the WiDS Datathon, and an estimated 200 WiDS Regional Events worldwide. Everyone is invited to attend all WiDS conference and WiDS Datathon Workshop events which feature outstanding women doing outstanding work.
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