In Tech We Trust... Maybe Too Much?
Without thoughtful foresight and rigorous testing, algorithmic bias can impact society in unexpected ways. In a new working paper, "In Tech We Trust... Maybe Too Much?", Hannah Mayer shares valuable insight from our most recent AI in Enterprise discussion with Latanya Sweeney (Professor of the Practice of Government and Technology, Harvard University) on what senior enterprise leaders can do to avoid negative externalities.
You can also check out the podcast or video of this event - and others - through our Innovation Science Guide.
Coming up: "AI Adoption in the Enterprise 2020" with Roger Magoulas
Wednesday, 14 Oct. 2020 - 11am-12pm EDT
Delving into O'Reilly's most recent survey of AI adoption, the next session of our AI in Enterprise series will explore common risk factors, techniques, tools, as well as the data governance and data conditioning that large companies are using to build and scale their AI practices.
Roger Magoulas has worked on data analytics projects since the mid-90’s, designing and implementing the data infrastructure and analytics platform for a number of organizations, including Sybase, the SF Opera, Alberta Motor Club, and Columbia Pictures. At O’Reilly Roger built up the data team to support both internal analytics and tracking technology-adoption trends for O’Reilly’s Radar content. He also served as co-chair of O’Reilly's Strata conference, ran O’Reilly’s Foo Camp (unconferences) program, provided technology research to various companies and government agencies, and took over the Radar function, most recently writing the AI Adoption in the Enterprise 2020 survey report.
Roger currently volunteers for the state of California’s COVID Insights task force, providing guidance to the governor’s office, assists on Public Resource's Big Box of Science Project, produces webinars for those running data teams (CDx Connection), and advises a few startups.
18 Nov. 2020 - 11am-12pm EDT
Eric Newcomer – Global Head of Security Architecture and Strategy for the Consumer Bank Division, Citi
Peter Decrem – Director, Rates Trading Group, Citi
Apply to attend here: https://bit.ly/ai-enterprise-citi
10 Dec. 2020 - 11am-12pm EDT
Caroline Sherman – Chief Product Officer & Managing Director, Strategy at Quantopian
Apply to attend here: https://bit.ly/ai-enterprise-sherman
The AI in Enterprise Series
In contrast to other discussions on AI, this series aims to provide key insights on how enterprise firms are thinking critically and strategically about AI integration. Drawing on the LISH’s extensive experience over the past decade running programs that develop algorithm and AI-based solutions with partners across industries—as well as subject matter expertise from Harvard Business School faculty and partners—this series will provide a uniquely enterprise-focused forum for understanding artificial intelligence.
Watch highlights from the November 2019 event:
Karim R. Lakhani is the founder and co-director of the Laboratory for Innovation Science at Harvard, the principal investigator of the NASA Tournament Laboratory at the Harvard Institute for Quantitative Social Science, and the faculty co-founder of the Harvard Business School Digital Initiative. He specializes in technology management and innovation. His research examines crowd-based innovation models and the digital transformation of companies and industries.
Marco Iansiti is an expert on digital innovation and transformation, with a special focus on strategy, business models, and new product development in high technology industries. His research studied innovation and operations in both firms and firm networks. He examined the strategy, business models, and innovation processes of a variety of organizations including Microsoft, Facebook, IBM, Hewlett Packard, Wal*Mart, AT&T, Dell, Amazon, and Google, among many others.
In their book, Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World, Lakhani and Iansiti show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have constrained business growth for hundreds of years.
Douglas A. Levin is Executive-in-Residence at the Laboratory for Innovation Sciences at Harvard and best known as the sole founder and first CEO of Black Duck Software. He is an advisor to an array of young companies in the cybersecurity and AI/machine learning segments, including Carbon Relay, Stynt, Tolemi, Wabbi, and ZyloTech. He also is a frequent guest lecturer at the MIT Sloan School of Management and Harvard Business School where he speaks on a range of topics, including finance, technology and markets, and entrepreneurship.