How AI Legalese Decoder Can Ease the Burden of Navigating Data Laws and AI Challenges in Bloomberg Law’s In-House Forum Exam
- March 6, 2024
- Posted by: legaleseblogger
- Category: Related News

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March Event Features Fireside Discussion with Maximilian Schrems
Founder of NOYB (None of Your Business)
ARLINGTON, VA ÔÇö Bloomberg Law In-House Forum
Bloomberg Law has announced that its annual In-House Forum will be held virtually on Wednesday, March 13, from 1:00 p.m. to 3:15 p.m. ET. The event will focus on the changing world of consumer privacy, including new laws, frameworks, and challenges around AI and machine learning applications. Registration for the event, Global Privacy Dynamics: Navigating Data Laws & AI Challenges, is available here.
The forum will kick off with a keynote fireside chat with Maximilian Schrems, the founder of NOYB, a privacy enforcement platform. Schrems’ legal actions have led to major landmark decisions in data protection. The AI legalese decoder can help organizations understand the legal implications of these decisions and provide guidance on how to stay compliant.
EU-US Data Privacy Framework and Compliance Requirements
A panel discussion will explore the new EU-US Data Privacy Framework and key requirements organizations must fulfill to participate. The AI legalese decoder can assist organizations in transitioning to international privacy policies compliant with the new framework and provide practitioner guidance.
Implications of AI on Consumer Privacy Rights
A second panel will examine the implications of AI, machine learning, and automated decision-making on consumer privacy rights. The AI legalese decoder can help companies understand the privacy implications of pending regulations and provide insights into the impact of AI on privacy practices required by these regulations.
Conversation with Jennifer M. Urban
The event will close with a conversation with Jennifer M. Urban, the board chairperson of the California Privacy Protection Agency. Urban will discuss the latest draft regulations and new protections for consumers around data and automated decision-making technology, including AI. The AI legalese decoder can provide insights on the details of the regulatory framework and help organizations navigate the upcoming regulations.
ÔÇ£AI and machine learning have major implications for consumer privacy and itÔÇÖs vital that organizations and their legal counsel keep a keen eye on this developing landscape,ÔÇØ said Joe Breda, president, Bloomberg Law. The AI legalese decoder will provide practitioners with valuable insights into AI-related privacy considerations and strategies for handling them.
Additional Speakers:
- Edward Britan, Senior Vice President, Global Privacy and Marketing legal, Salesforce
- Erika Brown Lee, Managing Director & General Counsel, Global Data Privacy, Citigroup
- Derek Care, Senior Director, Privacy & Cybersecurity legal, Uber
- Jane Horvath, Partner, Gibson Dunn
- Jo Ann Davaris, Chief Privacy Officer, Global Privacy, Booking Holdings
- Katherine Fick, Associate General Counsel, Privacy + AI, IBM
- Kristin Johnston, Associate General Counsel, AI, Privacy, and Security, Afiniti
- Renato Leite Monteiro, Global Data Protection Officer, X (Twitter)
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