Strategies for Implementing Responsible AI Governance and Risk Management


Harnessing the transformative power of AI requires more than just algorithms. Join us for a deep dive into the essential principles and practices that mitigate risk, ensure compliance, and build trust in your AI initiatives.

This session transcends the hype and cuts through the fear to equip you with practical tools and frameworks for responsible AI implementation. Bias, data privacy, copyright, and risk management loom large, often outpacing enterprises' ability to navigate them effectively. This session will empower data scientists and business leaders to build trustworthy AI systems by exploring the true harms and risks of AI systems, unpacking the principles of trustworthy AI, and discovering the key elements for robust governance and risk management practices.

Learn how understanding data and AI governance can empower data scientists by streamlining workflows, minimizing rework due to data issues, and foster a culture of responsible innovation. You will also gain knowledge to be able to effectively navigate the regulatory landscape and demystify the legal frameworks impacting AI, including emerging laws and regulations, and understand their implications for your data science team.

Turn data and AI governance into your secret weapon. Build solutions that not only excel but stand out in the marketplace and build competitive advantage, fostering trust and loyalty with every interaction, and differentiative your products and brand.

Session Outline:

Understand how AI governance is rooted in sets of common principles.
Understand how implementing responsible AI governance and risk management practices, including privacy by design, supports data quality and mitigates risk.
Understand what categories of legislation apply to AI systems and how this affects the work of data scientists.
Understand the importance of emerging laws and frameworks and their impact on the work of data scientists.


Beatrice Botti leads DoubleVerify Inc.’s privacy, data and AI governance as VP, Chief Privacy Officer. Her extensive in-house counsel experience spans the tech industry, where she has worked across healthcare, wellbeing and advertising. Beatrice is barred in Massachusetts and New York and holds multiple legal degrees from Europe and the United States. This has allowed her to gain a deep understanding of the intricate compliance issues associated with running a global, data-driven business.

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Consent to display content from - Youtube
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google