Limor Ziv

Founder & CEO of Humane AI and Thought Leader in AI Management and Responsible AI
  • Expert in AI risk management and compliance
  • Renowned keynote speaker and university lecturer
  • Innovator in ethical AI development and deployment
  • Leading voice in AI governance and regulation
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Languages: 

  • English
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Check Limor Ziv's availability for your event

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Limor Ziv's 2024 biography

Visionary Leader in Responsible AI

Dr. Limor Ziv is the Founder and CEO of Humane AI, a cutting-edge technology company dedicated to promoting responsible AI practices. With exceptional expertise in AI risk management and ethical deployment, she assists organizations in navigating the complex landscape of AI implementation and regulatory compliance.

Passionate about fostering innovation while ensuring ethical standards, Dr. Ziv actively engages in public speaking, leading discussions on advanced AI topics, and creating content that highlights the significance of responsible AI. Known for her engaging presentations on AI challenges and opportunities, her workshops and courses equip participants with the knowledge to harness AI effectively and responsibly.

Expertise and Impact

Opportunities and Risks in AI Development

Dr. Ziv is at the forefront of identifying emerging AI opportunities across various industries while meticulously analyzing potential risks and unintended consequences. Her approach ensures a balanced pursuit of innovation and sustainable growth.

AI Risk Management

With unparalleled expertise in AI risk management, Dr. Ziv has developed comprehensive risk assessment frameworks and shares successful case studies. She equips organizations with the tools and techniques necessary for ongoing risk monitoring and mitigation.

Responsible AI Practices

Championing the ethical development and deployment of AI, Dr. Ziv advocates for fairness, accountability, and transparency. She showcases exemplary case studies of companies excelling in responsible AI practices, setting benchmarks for the industry.

AI Regulation and Compliance

Dr. Ziv provides invaluable insights into the evolving landscape of AI regulations worldwide. Her guidance helps organizations build compliant AI systems and prepare for audits and regulatory assessments, ensuring they meet global standards.

AI Governance and Management

Her strategic expertise extends to building robust AI governance frameworks, defining roles and responsibilities in AI management, and ensuring alignment between AI strategies and organizational goals.

Human-Computer Interaction and Human-AI Interaction

Academic and Professional Contributions

As a respected lecturer at leading tech companies and universities, Dr. Ziv imparts her extensive knowledge and experience to the next generation of AI professionals. Her global lectures have left a lasting impact on various academic and professional settings, reinforcing her status as a leading expert in AI management and responsible AI.

Notable Achievements

  • Founder and CEO of Humane AI: Leading initiatives in responsible AI practices and setting industry standards.
  • AI Risk Management Expert: Guiding companies through complex AI implementations and ensuring compliance with regulations.
  • Keynote Speaker: Delivering influential talks on AI risk management at major global conferences.
  • University Lecturer: Educating future professionals on AI management, ethical considerations, and best practices.
  • Innovative Leader: Pioneering advancements in AI development and deployment for societal and business benefits.

Dr. Limor Ziv’s contributions to the field of AI are invaluable, making her an essential voice in the ongoing discourse around responsible AI and its implications for the future.

Limor Ziv's 2024 talks & topics

Opportunities and Risks in AI Development

Navigating the balance between seizing AI opportunities and managing associated risks and challenges.

  • Identifying emerging AI opportunities across various industries.
  • Analyzing potential risks and unintended consequences of AI.
  • Balancing innovation with risk management for sustainable growth.

Risk Management in AI

Learn strategies for identifying and mitigating risks associated with AI technologies.

  • Developing comprehensive risk assessment frameworks for AI.
  • Case studies on successful AI risk management.
  • Tools and techniques for ongoing risk monitoring and mitigation.

Responsible AI Practices

Explore best practices for developing and deploying AI responsibly to benefit society & bussiness goals.

  • Ethical considerations in AI development.
  • Implementing fairness, accountability, and transparency in AI systems.
  • Case studies of companies leading in responsible AI practices.

AI Regulation and Compliance

Understand the evolving landscape of AI regulations and how to ensure your organization is compliant.

  • Overview of current and upcoming AI regulations globally.
  • Best practices for building compliant AI systems.
  • Preparing for audits and regulatory assessments.

AI Governance and Management

Insights into effective AI governance and management strategies for organizations.

  • Building robust AI governance frameworks.
  • Roles and responsibilities in AI management.
  • Ensuring alignment between AI strategies and organizational goals.

Principles and Practices of Human-Centered Technology Development

  • The concept of human-centered design in technology development
  • Key principles for creating technology that aligns with human needs and values
  • Practical approaches to implement human-centered practices in the tech industry

Building Synergistic Human-AI Ecosystems

  • Exploring the interplay between human cognition and AI
  • Unveiling strategies for harmonious collaboration between people and AI systems
  • Analyzing current trends and breakthroughs in human-AI symbiosis

Limor Ziv's 2024 speaking fees

Limor travels from:
  • Israel

Specific fees fall within the ranges shown. These are presented as a guide only and are subject to change without notice.

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How would Limor Ziv deliver their presentation at your event?
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