CNN Appoints Chris Wiggins as Head of Machine Learning and AI Science

CNN has appointed Chris Wiggins as the head of machine learning and AI science, a newly created position aimed at enhancing the network's digital capabilities. The announcement was made in an internal memo to CNN staff on Monday. Wiggins, who previously served as the chief data scientist at the New York Times for over a decade, will lead a team focused on optimizing machine learning and artificial intelligence across various aspects of the organization.

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In his new role, Wiggins will oversee a team of engineers and data scientists tasked with improving outcomes across the company. This includes maximizing advertising and subscriber revenue, creating personalized user experiences, and assisting editorial teams with data-driven decisions in coverage and programming. The AI team will be integrated into CNN’s Digital Products and Services organization, with Wiggins based in the New York bureau and reporting to Kendell Timmers, the senior vice president of data analytics, science, and insights at CNN.

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Wiggins brings a wealth of experience to CNN, having led significant initiatives at the New York Times, such as enhancing the digital paywall's effectiveness through machine learning and developing AI-powered content recommendation systems. He also created AI-driven advertising products, including BrandMatch. In addition to his industry experience, Wiggins is an associate professor of applied mathematics at Columbia University, holding a bachelor's degree in physics and a PhD in theoretical physics from Princeton University.

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Wiggins' hiring is part of CNN's broader strategy to transform into a "best-in-class digital organization," focusing on streaming, mobile, and lifestyle products. This initiative has seen other key appointments, including Ashley Nutter as senior vice president of product management and design and Sam Felix as senior vice president of strategic partnerships and business development, both of whom have extensive backgrounds in digital media and technology.

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CNN emphasized that Wiggins' leadership will be crucial in harnessing AI and machine learning to enhance the network's offerings. The internal memo highlighted the importance of integrating existing teams under Wiggins to streamline efforts in data utilization across the organization.

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While the appointment has been largely welcomed, some industry observers have raised concerns about the implications of increased reliance on AI in journalism. Critics argue that the use of machine learning could potentially compromise editorial integrity and the human element of news reporting.

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As Wiggins steps into his new role, the focus will be on implementing strategies that leverage AI to improve CNN's digital products and services. The effectiveness of these initiatives will likely be monitored closely by both industry experts and audiences as CNN seeks to redefine its digital presence.

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