Ethical AI Governance: How Product Lawyers are Shaping Responsible Innovation

In their article, “The Product Lawyer’s Guide to Ethical AI: Building Trust and Managing Risks,” Linsey Krolik, Eve Saltma, Adrienne Go, and Olga V. Mack delve into the critical role of product lawyers in navigating the ethical challenges of AI. As AI technologies, particularly Generative AI (GenAI), become integral to business strategies, product lawyers must go beyond mere compliance to address complex issues such as data privacy, transparency, and algorithmic bias. The article introduces the Product Counsel Framework, a structured approach that empowers product lawyers to integrate ethical principles into AI development and usage, ensuring that AI-driven innovation aligns with core values like fairness, accountability, and transparency.

Three Key Learning Outcomes:

Understanding Data Ethics in AI:
The article redefines data ethics as more than a compliance requirement, emphasizing responsible data practices, fairness, and transparency. Product lawyers play a crucial role in embedding these principles into AI systems, fostering trust and credibility with stakeholders.

Applying the Product Counsel Framework:
The Product Counsel Framework offers a step-by-step guide to managing ethical and legal complexities at each stage of the AI lifecycle, helping product lawyers ensure that AI systems are transparent, fair, and aligned with the organization’s strategic values.

Product Lawyers as Ethical Leaders:
Product lawyers are positioned as ethical leaders, balancing legal risks with business imperatives while designing governance structures that proactively address potential biases and unintended consequences.

To learn more about how product lawyers are leading responsible AI innovation, read the full article: The Product Lawyer’s Guide to Ethical AI: Building Trust and Managing Risks.