Recent Free Privacy Champions Community Online webinars

On Wednesday, August 13th, 2025 at 10:00 AM PST, Privacy License is hosting a free, live 1-hour executive briefing on “EU AI Act Enforcement Has Begun, Implementing the General Code of Practice Now”, led by our Founder & CEO, Nabanita De, Privacy License.

The EU AI Act officially came into force this month, introducing up to €35 million in penalties for non-compliance. At the heart of the regulation lies the General Code of Practice, a set of requirements that will define how AI companies, privacy leaders, and policy makers govern the lifecycle of AI systems.

While many leaders understand the policy text, far fewer have a clear blueprint for translating it into operational, engineering, and governance practices. This session will break down the regulation into practical, implementable steps so you can move from “risk” to “ready” immediately.

We’ll cover:

• What the General Code of Practice actually requires (beyond the headlines)
• Day-one implementation priorities for privacy, security, and AI teams
• How to embed governance and compliance signals into AI systems, models and data
• Avoiding common compliance pitfalls that could trigger investigations or fines
• Leveraging compliance as a competitive advantage in AI markets
• Tools, frameworks, and checklists for cross-functional alignment between legal, technical, and policy teams

This session is ideal for:

• Chief Privacy Officers and CISOs operationalizing AI governance
• Policy makers and regulatory advisors shaping AI compliance frameworks
• CEOs and founders of AI companies building or deploying AI systems in the EU market
• Privacy engineers and technical leads implementing regulatory requirements
• AI/ML practitioners who need to understand privacy requirements and build responsibly
• Product managers responsible for embedding privacy and compliance into AI lifecycles

About our Speaker

Nabanita De is the Founder & CEO of Privacy License, where she built the missing enforcement layer for the EU AI Act and the world’s first licensing framework that governs AI training after data is scraped.

As an AI, Privacy, and Security leader at publicly traded fintech companies, Microsoft Research, and Uber, Nabanita has designed and led privacy programs spanning data governance, privacy engineering, and AI governance, acrossing exabytes of data, saving organizations over $4 billion in compliance and architectural costs.

Her groundbreaking work has been featured in Forbes, TechCrunch, Fast company, Business Insider, Washington Post, Wired, Fortune, CNN, BBC, and over 1,000+ news and research publications worldwide. She also serves on the IAPP Privacy Engineering Advisory Board.

Bridging the Gap Between Privacy Policy and Privacy Engineering

By Head of Technology Law, Privacy/Data Protection and AI Governance at Oguntoye & Oguntoye 

On Thursday, July 31th, 2025 at 9:00 AM PST, Privacy License hosted a free, live 1-hour webinar on “Bridging the Gap Between Privacy Policy and Privacy Engineering”, featuring Ridwan Badmus, Head of Technology Law, Privacy/Data Protection and AI Governance at Oguntoye & Oguntoye LP, in conversation with our founder & CEO, Nabanita De.

This session focussed on the persistent disconnect between privacy lawyers and privacy engineers in translating legal privacy requirements into actionable engineering outcomes. While privacy laws and policies set the framework for compliance, product teams often face challenges in implementing these frameworks effectively due to differing terminologies, approaches, and priorities.

Whether you're a privacy lawyer drafting policy or an engineer implementing technical controls, this talk equipped to collaborate more effectively across disciplines. We explored:

• How privacy lawyers and engineers can better understand each other’s roles and priorities
• Techniques to bridge the communication gap between legal and technical teams
• Collaborative strategies to embed privacy-by-design into systems and product development
• Practical approaches for aligning legal risk assessments with technical implementation
• Methods to improve cross-functional collaboration across privacy, legal, product, and engineering
• How to drive a unified approach to data protection that enables both compliance and innovation

This session is ideal for:

• Privacy leaders, lawyers and policy professionals seeking to influence product decisions and translate policy into practice
• Privacy engineers and technical leads responsible for implementing data protection controls
• Product managers and cross-functional stakeholders embedding privacy into the product development lifecycle
• Compliance, risk, and security professionals working to operationalize privacy across AI and data systems
• AI/ML practitioners who need to understand privacy requirements and build responsibly
• Anyone working at the intersection of privacy, technology, and product innovation

About our Speaker

Ridwan Badmus is the Head of Technology Law, Privacy/Data Protection and AI Governance at Oguntoye & Oguntoye LP, Privacy Engineering and AI Governance Lead at TechStabs Consulting and Co-Founder/Privacy Technologist at FR Data Protection. He's certified as an AI Governance Professional and Information Privacy Technologist with the International Association of Privacy Professionals (IAPP). Ridwan specialises in seamlessly integrating privacy, data protection & trustworthy AI requirements into products to process data responsibly. As a technology lawyer, he provides legal expertise across various domains, offering rare multidisciplinary support to startups and enterprises.

Integrating Privacy into the Artificial Intelligence Dev Lifecycle

By Senior Privacy Engineer, T.Rowe Price

On Monday, June 16th, 2025 at 9:00 AM PST, Privacy License is hosted a free, live 1-hour webinar on “Integrating Privacy into the Artificial Intelligence Dev Lifecycle”, featuring AbdulMajeed Raji, Senior Privacy Engineer, T.Rowe Price, in conversation with our founder & CEO, Nabanita De.

As artificial intelligence becomes a core pillar in product innovation, embedding privacy directly into the AI development lifecycle is critical for building trustworthy systems. Whether you are developing AI models, advising on responsible AI governance, or integrating privacy by design into data-driven products, this session provided practical strategies to bridge privacy and AI engineering. We covered:

• How to integrate privacy considerations at each stage of the AI development lifecycle
• Practical approaches for addressing privacy risks in model training, deployment, and monitoring
• The evolving regulatory landscape around AI and its privacy implications
• Real-world examples and lessons learned from implementing privacy solutions at scale

and more!

This session is perfect for:

• Privacy professionals collaborating with AI and data science teams
• AI practitioners looking to build privacy-resilient systems
• Legal, compliance, and security professionals navigating AI risk governance
• Product and engineering teams embedding privacy by design into AI initiatives
• Anyone curious about the intersection of privacy and artificial intelligence in today’s fast-evolving landscape

About our Speaker
AbdulMajeed Raji is a Senior Privacy Engineer at T. Rowe Price, driving the implementation of privacy engineering frameworks. With a career spanning nonprofits like Save the Children International and major privacy organizations, AbdulMajeed brings deep expertise in translating complex privacy principles into practical engineering solutions that scale across industries.

Privacy By Design 101

By Meta Privacy Program Manager

On Thursday May 29th 2025 at 10:30 am PST, Privacy License hosted a free live 1 hour webinar on "Privacy By Design 101", featuring Carolina Braga, Privacy Program Manager, Meta, in conversation with our founder & CEO, Nabanita De. 

In a world where data is the new currency and regulation is tightening, privacy can no longer be an afterthought. In this session, we unpacked how to turn privacy into a design principle, not a patch. Whether you're launching your first product or scaling privacy across global teams, this session covered how you proactively embed privacy into every layer of your business. Topics we’ll explored included:

• What Privacy by Design really means (and what it doesn’t)
• The 7 foundational principles of PbD—and how they apply beyond theory
• How to operationalize PbD across the entire product lifecycle—from ideation and prototyping to engineering and post-launch reviews
• Real-world implementation tips: how to integrate privacy workflows without slowing down innovation
• Common pitfalls to avoid when working with cross-functional teams in agile and fast-paced environments
• Expect practical insights, real examples, and forward-looking strategies that help you shift privacy from a compliance checkbox to a competitive advantage.

Perfect for privacy leaders, privacy managers, product leaders, engineers, founders, and privacy professionals looking to scale trust with speed. 

About our Speaker

Carolina Braga is currently Privacy Program Manager at Meta and an accomplished AI governance and data protection leader with a global track record of operationalizing scalable, risk-based privacy programs across complex, high-stakes environments. With over a decade of experience spanning technology, consulting, and corporate sectors, she has led major privacy initiatives at companies in the tech, pharmaceutical and oil and gas sectors. Carolina specializes in embedding Privacy by Design into AI product lifecycles, conducting DPIAs, and aligning enterprise operations with evolving regulations such as GDPR, LGPD, and PIPL. Her expertise bridges legal, technical, and strategic domains, driving cross-functional collaboration, streamlining compliance workflows, and spearheading regulatory readiness across global teams. Carolina holds a Master of Law, focused on Responsible AI and an MBA in Information Security Management.