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Courses/Law/Commercial Law

Understanding and Leveraging the AI Life Cycle Core Principles

Master the end-to-end artificial intelligence journey to successfully design, deploy, and scale robust machine learning models that drive measurable business value.

Created byEran Kahana
BeginnerUpdated Jun 12, 2026
Understanding and Leveraging the AI Life Cycle Core Principles

What You'll Learn

check_circleExplain the structure and purpose of the AI Life Cycle Core Principles Framework and its governance approach.
check_circleIdentify how key governance principles (transparency, accountability, fairness, privacy, safety) apply across AI lifecycle stages.
check_circleAssess current regulatory enforcement trends involving AI-related misconduct by agencies such as the FTC, SEC, and FDA.
check_circleApply AI governance principles to practical legal tools including contracts, policies, audits, and client advisory work.

About This Course

AI systems are no longer experimental—they are operational, regulated, and under increasing scrutiny from agencies like the FTC, SEC, and FDA. For legal professionals, this creates a pressing need to move beyond abstract ethical debates and engage with structured governance in practice.

This webinar introduces the AI Life Cycle Core Principles Framework, a structured governance model that maps 37 principles across 10 pillars and 10 lifecycle stages—from initial design and data sourcing through deployment, monitoring, and eventual retirement. Participants will learn how foundational governance concepts such as transparency, accountability, fairness, privacy, and safety are operationalised across the AI lifecycle.

More importantly, the session focuses on practical legal application: how to translate governance principles into enforceable contracts, internal policies, audit frameworks, and defensible client advice in an evolving regulatory environment. This is a pragmatic guide for lawyers advising on AI risk in real-world commercial and compliance contexts.

Key Topics Discussed:

  • Overview of the AI Lifecycle Core Principles Framework
  • Rapid time compression and societal transformation driven by AI
  • Definition and consolidation of core AI terminology, like accountability and trustworthiness
  • Development of the Framework Explorer and Keystone Pro tools
  • Due diligence and risk assessment for AI deployers and implementers
  • Importance of systematic and repeatable methodologies in AI supply chain management
  • Role of uppercase Governance as the operating system for AI principles
  • Implementation of policies, procedures, and processes to prevent AI disasters
  • Strategies for providing refined legal counsel to executive-level clients on AI risks
  • Real-time framework updates based on digital economy best practices

Your Instructor

Eran Kahana
Eran Kahana

Artificial Intelligence, Cybersecurity, and IP Attorney | Maslon LLP

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Eran Kahana is an AI, cybersecurity, and intellectual property lawyer as well as a Fellow at Stanford Law School, a member of the Advisory Board of Stanford Law School’s Stanford Artificial Intelligence & Law Society, an adjunct professor of law at the University of Minnesota Law School, and a member of the Scientific Council of the Israeli Association for Ethics in Artificial Intelligence. In his practice, Eran counsels clients on a wide variety of matters related to AI, cybersecurity, privacy, technology law, trademarks, patents, and copyright issues. Eran also serves in a variety of cybersecurity thought leadership roles and works closely with the FBI, Department of Justice, Secret Service, and colleagues from the private and academic sectors to set, promote, and sustain cybersecurity best practices. At Stanford Law School, Eran writes and lectures on the intersect between law and AI and is a frequent speaker at Stanford's annual Digital Economy Best Practices Conference. He has been cited in Oxford University Professor Marcus Du Satoy’s book The Creativity Code: Art and Innovation in the Age of AI and has been interviewed on AI, cybersecurity, privacy, and technology law by Bloomberg Law, BBC, Canadian Broadcasting Corporation (CBC) radio, KABC radio, Minnesota Public Radio, Twin Cities Business magazine, Star Tribune, Minnesota Lawyer, TheStreet.com, Quartz magazine, and Stanford University Radio, KZSU FM.

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We are a registered provider with 327+ associations and regulatory bodies worldwide. We operate across 29 global markets including Canada, the US, Australia, and the UK. Every course page clearly displays its specific accreditations. Upon completion, you receive a professional certificate that can be validated online. Our certificates include all necessary accreditation details, credit hours, and completion dates, and are formatted specifically to meet the submission requirements of most global regulatory bodies.

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