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Luiza Jarovsky

CEO of Implement Privacy, Author, and AI Privacy Expert

Luiza Jarovsky is a Ph.D. Candidate in Data Protection at Tel Aviv University.1 She is also the co-founder of the AI, Tech & Privacy Academy, where she plays a leading role.1

Professional Focus

Jarovsky's work primarily revolves around artificial intelligence (AI), technology, and privacy. She frequently shares insights and engages in discussions about these topics on her LinkedIn profile.

Recent Activities

AI Governance and Privacy Rights: Jarovsky recently hosted a live session with Max Schrems, focusing on privacy rights in the context of AI.2 She has also commented on AI's potential impact on privacy rights and personal data protection.3

AI in Healthcare: She has discussed the risks and challenges associated with AI implementation in the healthcare sector.4

AI and Marketing: Jarovsky has shared content related to leveraging AI for marketing and sales optimization.5

Advocacy and Education

Jarovsky appears to be an active advocate for responsible AI use and data protection. She regularly posts about AI governance, compliance, and the societal implications of AI technology.23 Through her role at the AI, Tech & Privacy Academy, she likely contributes to education and awareness in these fields.

Luiza Jarovsky's work demonstrates a strong commitment to exploring the intersection of AI, technology, and privacy, with a particular focus on the legal and ethical aspects of data protection in the age of artificial intelligence.

Highlights

Sep 10 · linkedin

📚 [AI BOOK CLUB] Join over 1,300 book lovers and get bi-weekly book recommendations straight to your inbox! Ready to discover your next favorite read? Sign up using the link below. Here's the full list:

1️⃣ "Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence" by Kate Crawford

2️⃣ "The Coming Wave: Technology, Power, and the 21st Century's Greatest Dilemma" by Mustafa Suleyman & Michael Bhaskar

3️⃣ "Unmasking AI: My Mission to Protect What Is Human in a World of Machines" by Dr. Joy Buolamwini

4️⃣ "The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI" by Fei-Fei Li

5️⃣ Guardrails: Guiding Human Decisions in the Age of AI" by Urs Gasser & Viktor Mayer-Schoenberger-Schönberger

6️⃣ AI 2041: Ten Visions for Our Future" by Kai-Fu Lee & 陈楸帆Stanley Qiufan Chan

7️⃣ "Race After Technology: Abolitionist Tools for the New Jim Code" by Ruha Benjamin

8️⃣ "The Battle for Your Brain: Defending the Right to Think Freely in the Age of Neurotechnology" by Nita Farahany

9️⃣ "The Equality Machine: Harnessing Digital Technology for a Brighter, More Inclusive Future" by Orly Lobel

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Sep 1 · linkedin

🚨 [AI RESEARCH] "The AI-Copyright Trap," by Carys Craig, is a MUST-READ for everyone interested in AI governance (& following the various AI copyright lawsuits I have been covering). Quotes:

"There are many good reasons to be concerned about the rise of generative AI(...). Unfortunately, there are also many good reasons to be concerned about copyright’s growing prevalence in the policy discourse around AI’s regulation. Insisting that copyright protects an exclusive right to use materials for text and data mining practices (whether for informational analysis or machine learning to train generative AI models) is likely to do more harm than good. As many others have explained, imposing copyright constraints will certainly limit competition in the AI industry, creating cost-prohibitive barriers to quality data and ensuring that only the most powerful players have the means to build the best AI tools (provoking all of the usual monopoly concerns that accompany this kind of market reality but arguably on a greater scale than ever before). It will not, however, prevent the continued development and widespread use of generative AI."

"(...) As Michal Shur-Ofry has explained, the technical traits of generative AI already mean that its outputs will tend towards the dominant, likely reflecting 'a relatively narrow, mainstream view, prioritizing the popular and conventional over diverse contents and narratives.' Perhaps, then, if the political goal is to push for equality, participation, and representation in the AI age, critics’ demands should focus not on exclusivity but inclusivity. If we want to encourage the development of ethical and responsible AI, maybe we should be asking what kind of material and training data must be included in the inputs and outputs of AI to advance that goal. Certainly, relying on copyright and the market to dictate what is in and what is out is unlikely to advance a public interest or equality-oriented agenda."

"If copyright is not the solution, however, it might reasonably be asked: what is? The first step to answering that question—to producing a purposively sound prescription and evidence-based prognosis, is to correctly diagnose the problem. If, as I have argued, the problem is not that AI models are being trained on copyright works without their owners’ consent, then requiring copyright owners’ consent and/or compensation for the use of their work in AI-training datasets is not the appropriate solution. (...)If the only real copyright problem is that the outputs of generative AI may be substantially similar to specific human-authored and copyright-protected works, then copyright law as we know it already provides the solution."

👉 Read the full paper below.

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#AI #AIGovernance #Copyright #AIRegulation #AICompliance

Related Questions

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What is Luiza Jarovsky's background before pursuing her Ph.D. at Tel Aviv University?
Luiza Jarovsky
Luiza Jarovsky, photo 1
Luiza Jarovsky, photo 2
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Experience

CEO & Co-Founder at Implement Privacy (October 2022 - Present)
Marie Curie Fellow at Tel Aviv University (August 2016 - January 2020), Partner at SRC - Soares | Chinaite | Sociedade de Advogados (2013 - 2016), Commercial Director at WR Assevera - Consultoria em Gestão Médica e Hospitalar (2011 - 2016)

Education

Ph.D. Researcher at Tel Aviv University (2020 - Present), Master's at Tel Aviv University, Law degree from the University of São Paulo

Location

Tel Aviv, Israel