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Me, Myself, and AI

Latest episodes

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5 snips
Nov 21, 2023 • 35min

Micro Utility With Gen AI: Shopify's Miqdad Jaffer

Director of product for Shopify, Miqdad Jaffer, talks about how generative AI enhances Shopify's offerings, allowing users to complete administrative tasks quickly. He explains the importance of keeping users in control and shares Shopify's approach. AI-powered tools like Shopify Magic and Shop.AI help entrepreneurs start and grow businesses efficiently.
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Nov 7, 2023 • 35min

Marketing With Generative AI: Harvard Business School’s Ayelet Israeli

Ayelet Israeli, assistant professor at Harvard Business School, discusses the opportunities and limitations of generative AI in market research. She explores how AI can simulate focus groups and surveys, reducing time and cost. They also discuss the rationality of marketing strategies and the challenge of finding extreme ideas. Israeli highlights the potential of AI in addressing bias and generating unbiased outcomes, mentioning the improvement in AI models over time.
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Oct 24, 2023 • 26min

Entrepreneurial AI in the Enterprise: LG Nova's Shilpa Prasad

Shilpa Prasad, entrepreneur in residence at LG Nova's innovation incubator, discusses the role of AI in the enterprise and its transformative potential. She explores bringing AI technologies to market, the challenges of measuring impact, and the importance of collaboration with startups.
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Oct 10, 2023 • 23min

Fueling Interdisciplinary Innovation With AI: Volvo’s Anders Sjögren

Anders Sjögren, Technical leader for a major automaker, explains Volvo's use of data and AI in manufacturing, driver experience, and safety. He discusses smart technology for keeping drivers alert, Volvo's approach to technology-driven innovation, and the intersection of AI and safety. Also, the guest expresses concerns about the development of super powerful language models and discusses the future of AI for the common good.
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Sep 13, 2023 • 22min

Protecting Society From AI Harms: Amnesty International’s Matt Mahmoudi and Damini Satija (Part Two)

Matt Mahmoudi and Damini Satija discuss the importance of AI regulation in addressing harms caused by the technology. They highlight the dangers of AI tools and envision a future where power structures are dismantled. They emphasize the ethical responsibility of workers in relation to AI technology and call for continued support of the podcast.
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21 snips
Aug 29, 2023 • 28min

Protecting Society From AI Harms: Amnesty International’s Matt Mahmoudi and Damini Satija (Part One)

Amnesty International researchers discuss the risks of AI tools for human rights and highlight examples like facial recognition tracking of social activists and automated decisions in public housing. They emphasize that fixing bias and discrimination requires human intervention and changes to public policy.
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Aug 15, 2023 • 20min

Images and Inspiration With AI: Pinterest’s Jeremy King

Pinterest's Jeremy King discusses the role of AI in their image-driven platform, including the use of generative AI and graph databases. They also explore how AI analyzes images and unstructured text, and the challenges and potential of language translation technologies. Rapid fire questions and a sponsorship mention wrap up this informative and entertaining episode.
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4 snips
Aug 1, 2023 • 28min

Learning From and With AI: Duolingo’s Zan Gilani

When Zan Gilani came to the U.S. from Pakistan to complete his undergraduate studies, he chose to study Chinese because it was rumored to be a difficult language. At the time, the tech industry was booming, and he quickly became interested in applying his passion for foreign languages and learning more generally in a technology-rich environment.Those interests led Zan to Duolingo, where he has been working in product management for eight years and now oversees the app company’s experiential AI team. What excites him about working at the language-learning app company is his ability to help build solutions that enable personalized education at scale: The app boasts over 16 million daily active users, and AI-driven functionality motivates them through frequent notifications, personalizes learning experiences by adjusting the difficulty of questions in practice sessions, and observes and critiques learners’ performance.Zan joins our podcast to outline the specific ways Duolingo uses AI and machine learning to drive user engagement, and discuss how the technology can be used to support learning more generally. Read the episode transcript here.Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger.Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn.Guest bio:Zan Gilani is a principal product manager at Duolingo. For the past eight years, he has helped grow the company’s learner base from 3 million to 16 million daily active users by working on retention, acquisition, growth in Asia, gamification, and the new-user experience.He currently leads Duolingo’s Experimental AI team, which uses generative AI to build features that teach learners more effectively. More broadly, Gilani is working on setting Duolingo up for success using generative AI, through external partnerships and internal education.Gilani grew up in Karachi, Pakistan, and is currently based in New York City. He has bachelor’s degrees in political science and East Asian studies from Columbia University.We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
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Jul 18, 2023 • 34min

Detecting the Good and the Bad With AI: Airbnb’s Naba Banerjee

Naba Banerjee’s identity as a “forever learner” led to her become the first female engineer in her family. That curiosity has informed her career choices as well, leading her to companies as varied as Tata, Cognizent, Walmart, and AAA. Now, as director of trust product and operations at vacation rental platform Airbnb, she is continuing let her curiosity be her guide as she applies her previous data science experience to the travel industry. On this episode, Naba joins Shervin and Sam to talk abouthow she and her team use AI and machine learning to increase the safety of the guests and hosts who use Airbnb’s platform. She also discusses collaboration between humans and machines and the importance of recognizing that neither is an infallible decision maker. Read the episode transcript here.Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger.Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn.Guest bio:Naba Banerjee is the director of trust product and operations at Airbnb, overseeing the company’s efforts to combat fraud, build trust between hosts and guests, and stop bad actors from using the platform. Her most recent work includes the development of Airbnb’s reservation screening technology, which helps to identify users making potentially high-risk reservations and prevent them from taking advantage of the platform. Banerjee has over two decades of experience building products that deliver innovative, customer-centric solutions. She joined Airbnb after spending 13 years at Walmart.com, where she played an instrumental role in the evolution of product management, including shipping packages to customers more quickly and building mobile apps to enable customers to check out faster.We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.We want to know how you feel about Me, Myself, and AI. Please take a short, two-question survey.
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Jul 5, 2023 • 26min

Regulating AI Innovation: Aboitiz Data Innovation’s David Hardoon

As CEO of Aboitiz Data Innovation, David Hardoon oversees the operations of a technology conglomerate focused on using data science and AI to support its businesses in a range of sectors, including banking, financial services, utilities, agriculture, and construction in Singapore and the Philippines. In his role, David is leading some unexpected — but practical — uses of artificial intelligence, including using voice and image recognition to detect stress in livestock, and analyzing internet-of-things data to reduce waste and CO2 emissions in the cement R&D process.David joins this episode to discuss the broad scope of the organizations he’s responsible for, the role of AI regulation and governance in helping to spur innovation, humans’ sometimes problematic role in shaping AI outputs, and how a high school detention led to a career in artificial intelligence. Read the episode transcript here.Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger.Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn.Guest bio:David Hardoon is the CEO of Aboitiz Data Innovation and chief data and AI officer of Union Bank of the Philippines. He is concurrently the chief data and innovation officer of the Aboitiz Group and chief data officer of UnionDigital Bank. Previously, he was the Monetary Authority of Singapore’s first appointed chief data officer and head of the Data Analytics Group, as well as a special adviser on AI. Hardoon has a doctorate in computer science (machine learning) from the University of Southampton and a bachelor’s degree from Royal Holloway, University of London, in computer science and AI.We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.We want to know how you feel about Me, Myself, and AI. Please take a short, two-question survey.

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