Tag Archives: Michael Pizzi

The Top Eight AI Adoption Failures and How to Avoid Them

by Avi Gesser, Matt Kelly, Samuel J. Allaman, Michelle H. Bao, Anna R. Gressel, Michael Pizzi, Lex Gaillard, and Cameron Sharp

Photos of the authors

Top left to right: Avi Gesser, Matt Kelly, Samuel J. Allaman, and Michelle H. Bao.
Bottom left to right: Anna R. Gressel, Michael Pizzi, Lex Gaillard, and Cameron Sharp.
(Photos courtesy of Debevoise & Plimpton LLP)

Over the past three years, we have observed many companies in a wide range of sectors adopt Artificial Intelligence (“AI”) applications for a host of promising use cases. In some instances, however, those efforts have ended up being less valuable than anticipated—and in a few cases, were abandoned altogether—because certain risks associated with adopting AI were not properly considered or addressed before or during implementation. These risks include issues related to cybersecurity, privacy, contracting, intellectual property, data quality, business continuity, disclosure, and fairness.

In this Debevoise Data Blog post, we examine how the manifestation of these risks can lead to AI adoption “failure” and identify ways companies can mitigate these risks to achieve their goals when implementing AI applications.

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Overview of Global AI Regulatory Developments and Some Tips to Reduce Risk

by Avi Gesser, Matt Kelly, Anna Gressel, Corey Goldstein, Samuel Allaman, Michael Pizzi, Jackie Dorward, Lex Gaillard, and Ned Terrace

Photos of the authors

Top row from left to right: Avi Gesser, Matt Kelly, Anna Gressel, Corey Goldstein, and Samuel Allaman
Bottom row from left to right: Michael Pizzi, Jackie Dorward, Lex Gaillard, and Ned Terrace (photos courtesy of Debevoise & Plimpton LLP)

With last week’s political deal in European Parliament to advance the European Union’s groundbreaking AI Act (the “EU AI Act”), Europe is one step closer to enacting the world’s first comprehensive AI regulatory framework. Yet while the EU is poised to become the first jurisdiction to take this step, other countries are not far behind. In recent months, the U.S., Canada, Brazil, and China have all introduced measures that illustrate their respective goals and approaches to regulating AI, with the AI regimes in Canada and Brazil appearing to be modeled substantially on the EU AI Act.

In this blog post, we provide an overview of these legislative developments, highlighting key similarities, differences and trends between each country’s approach as well as providing a few considerations for companies deploying significant AI systems.

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The Digital Services Act (DSA) Transforms Regulation of Online Intermediaries

by Avi Gesser, Anna Gressel, and Michael Pizzi

On July 5, 2022, the European Parliament voted to approve the final text of the Digital Services Act (“DSA” or the “Act”), a landmark regulation that—along with its sister regulation, the Digital Markets Act (“DMA”)—is poised to transform the global regulatory landscape for social media platforms, hosting services like cloud service providers, and other online intermediaries.

Lawmakers have billed the DSA as implementing the principle that “what is illegal offline, should be illegal online.” In reality, the DSA goes much further, requiring online platforms to not only take greater accountability for “illegal” and “harmful” content that they host, but also to provide unprecedented transparency around their content moderation practices, targeted advertising, and recommender algorithms, and to maintain comprehensive risk management systems for a potentially wide range of systemic risks—from public health crises to political misinformation.

In this Debevoise Data Blog post, we have provided an update on the status of the DSA, an overview of the key features of this landmark regulation, and several take-aways for companies about the import of the DSA.

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Cybersecurity and AI Whistleblowers: Unique Challenges and Strategies for Reducing Risk

by Avi Gesser, Anna R. Gressel, Corey Goldstein, and Michael Pizzi

Several recent developments have caused companies to review their whistleblower policies and procedures, especially in the areas of cybersecurity and artificial intelligence (“AI”).

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