Operationalizing
Responsible AI
Praxif.ai is a powerhouse of scholars, lawyers, and technology professionals united by a mission: ethical, trustworthy AI. We bridge the gap between Responsible AI theory and real-world practice.
Praxif.ai is a powerhouse of scholars, lawyers, and technology professionals united by a mission: ethical, trustworthy AI. We bridge the gap between Responsible AI theory and real-world practice.
Tailored AI governance solutions for every stakeholder
Navigate AI legal frameworks and ensure organizational compliance with evolving regulations.
Strategic oversight and governance frameworks for responsible AI implementation at the executive level.
Technical implementation guidance for building ethical AI systems with built-in compliance measures.
Comprehensive audit frameworks and monitoring systems for ongoing AI compliance management.
Policy development and regulatory frameworks for government agencies implementing AI solutions.
Comprehensive AI governance solutions tailored to your organization's needs
Ensure alignment with evolving AI frameworks and global regulations through continuous monitoring of AI policies, comprehensive audits, and impact assessments.
Conduct in-depth gap analyses on Responsible AI issues and develop robust internal policies, procedures, and compliance programs tailored to industry standards and organizational culture.
Enhance Responsible AI literacy through customized workshops for executives, legal teams, R&D professionals, and technical practitioners with interactive 1-3 day training sessions.
Developing and delivering training and capacity-building programs since 2019
Praxif.ai is a powerhouse of scholars, lawyers, and technology professionals united by a mission: ethical, trustworthy AI. We combine our deep expertise in AI governance, law, and technology to support governments and businesses in operationalizing Responsible AI principles.
We collaborate with a rich international expert network to ensure that we always have our finger on the pulse. By delivering the most cutting-edge knowledge and insights, Praxif.ai is closing the gap between Responsible AI theory and its real-world practice.
Niva is a Faculty Associate at the Berkman Klein Center for Internet & Society at Harvard University and a Professor of Law at Tel Aviv University (TAU), where she also serves as the academic director of the Chief Justice Meir Shamgar Center for Digital Law and Innovation and the co-director of the Algorithmic Governance Lab at TAU Innovation Lab ("TIL"). Niva received her LL.M. from Harvard Law School, and her S.J.D. from Stanford Law School.
Avigdor serves as the Benjamin and Florence Free Chaired Professor of Data Science and the Co-chair of the Center for Humanities & AI at the Technion - Israel Institute of Technology, where he led the design of the first data science engineering program in Israel. Avigdor's research focuses on data integration under uncertainty and leverages state-of-the-art machine learning and deep learning techniques to improve data quality. Avigdor received his B.Sc and D. Sc. from the Technion.
Karni is an entrepreneur who thrives at the intersection of law, technology & policy. Karni is a licensed attorney in New York, California, and Israel. She holds an LL.M. in Law & Technology from Stanford University and a Ph.D. in Law (focusing on AI and legal liability for damage) from Haifa University. Her postdoc fellowship at the University of Ottawa focused on global regulation of AI.
Shlomi is an associated researcher at the Weizenbaum Institute in Berlin. Shlomi research focuses on creating tools for the real-world deployment of responsible computing systems, with an emphasis on differential privacy. Shlomi holds a Computer Science Ph.D. from Boston University, and in the past year, he visited Columbia University and completed an OpenDP fellowship at Harvard University. Previously, Shlomi co-founded the Israeli National Cyber Education Center.