@LuizaJarovsky

Who Is This Person?

Luiza Jarovsky is a prominent expert in AI governance, data privacy, and technology ethics. She holds a PhD and is recognized as a leading voice in these fields, with her work focusing on the legal, ethical, and social implications of AI and digital technologies. She is the co-founder of the AI, Tech & Privacy Academy, which has trained over 1,300 participants, and author of Luiza's Newsletter, boasting more than 82,000 subscribers. Jarovsky is frequently cited by major media outlets for her insights on AI policy and regulation. She has received accolades such as LinkedIn's Top Voice in AI, the Westin Scholar Award from the IAPP, and the President's Scholarship for Excellence in Science and Innovation from the President of Israel for her PhD research. Recent activities include publishing weekly newsletter editions on topics like dark patterns in social media, AI's legal challenges, and tech accountability; launching the 26th cohort of her AI Governance Training in January 2025; and engaging in public discourse on platforms like X (Twitter) about reimagining social networks and regulating algorithmic feeds. As of October 2025, she continues to build her influence through educational initiatives and thought leadership.

Luiza Jarovsky exhibits high credibility as an established thought leader in AI governance and privacy law. Her academic background, professional affiliations, and media recognition underscore her expertise, with no evidence of controversies, disputes, or factual inaccuracies. Her content is consistent across platforms, promoting transparency and accountability in technology, making her a reliable source for insights on these topics. While her advocacy may introduce a pro-regulation bias, it is grounded in legal and ethical frameworks rather than unsubstantiated claims.

Assessment by Grok AI

What's Their Track Record?

Jarovsky's content demonstrates consistent accuracy in discussing legal and ethical tech issues, drawing from her PhD research and professional experience. No fact-checks, corrections, or retractions have been identified in her publications or social media activity. Her work is supported by citations from reputable sources and awards, with a focus on evidence-based analysis of topics like dark patterns, algorithmic regulation, and AI fairness. Historical posts and articles from 2020 onward show a pattern of thoughtful, critical commentary without misinformation.