Events

We study how home sellers and buyers interact with Zillow's Zestimate algorithm throughout the sales cycle of residential properties, with an emphasis on the implications of such interactions. In particular, leveraging Zestimate's algorithm updates as exogenous shocks, we find evidence for a human-algorithm feedback loop: listing and selling outcomes respond significantly to Zestimate, and Zestimate is quickly updated for the focal and comparable homes after a property is listed or sold. This raises a concern that housing market disturbances may propagate and persist because of the feedback loop. However, simulation suggests that disturbances are short-lived and diminish eventually, mainly because all marginal effects across stages of the selling process---though sizable and significant---are less than one.

In this 4th webinar in our series on responsible artificial intelligence (AI) in healthcare, we will focus on hospitals and healthcare providers. Our expert panel will discuss AI’s current role and how future technologies can meet hospital and provider needs. We will highlight opportunities for AI to boost efficiency, reduce costs, and improve services. We […]

Join Harvard Business School professors and Principal Investigators of the Data Science and AI Operations lab, Iavor Bojinov and Edward McFowland III, as they engage in an enlightening conversation with the international bestselling author QuHarrison Terry on the exciting topic of operationalizing generative AI. Whether you are a business leader, a tech professional, or simply an AI enthusiast, this event will offer you valuable perspectives and actionable insights on making AI a transformative tool in order to drive your organization forward and toward a smarter, more efficient future.

Join us as we discuss the latest report out of the Digital Value Lab led by Professor Suraj Srinivasan, one of the leading research labs at the Digital Data Design Institute at Harvard Business School. Conducted in partnership with Capgemini, this report unveils the rise of the eco-digital economy. In this collaborative study, we surveyed 1500 executives to discover how the expansion of cutting-edge technology, innovative breakthroughs, and sustainability investments are driving this growth.

Information about the number of applicants to a job vacancy might simultaneously signal the degree of competition and vacancy quality. We study how this information affects job search. To do so, we conduct three experiments on a large online job platform in which the treatment varies what information is shown to job seekers. Information about the number of prior applicants to a vacancy increases the number of applications and redirects them to vacancies with few prior applications. Information about vacancy age increases application rates, especially to new vacancies.

AI is going to be a game changer for product management!  In this webinar, our guest contributor--Aditi Joshi of Google--will cover fundamental concepts in AI product management and discuss how to build groundbreaking products that solve real-world problems, powered by cutting-edge technology. Aditi will also discuss frameworks in order to excel as an AI product manager for non-technical professionals. Participate in this webinar to learn about the rapidly evolving landscape of AI product management, to discover new trends and applications in this field, and gain fundamental knowledge and skillsets to be able to integrate AI into product strategy and development process as an AI product manager.

This is the 3rd webinar in our series on scaling responsible AI in healthcare, produced in collaboration with the Responsible AI Institute. We have an exciting panel joining us to discuss cutting edge applications in Digital Health and the ways in which AI can be responsibly applied to those use cases, followed by a live audience […]

Get ready to explore the intersection of technology and sustainability at AI EarthHack! Join a community of students from across the world to create a project focused on GenAI, sustainability, and innovation, engage in workshops, and connect with leading companies. The action kicks off with a 36-hour virtual round from January 5-7th and continues in person on January 18th at Microsoft Toronto, where finalists will be invited to present to a panel of industry leaders. We’re challenging you to unlock GenAI’s true creative potential to create an AI system that is capable of identifying valuable and powerful ideas to create a sustainable future.

Are you curious about the implications of automation and robotization on careers in various industries? Join this session to learn about a novel research that examined approximately 16 million individual resumes across the United States to understand the implications of automation and robotization on careers in manufacturing, retail, and service industries. In this talk, our guest contributor, Pinar Yildirim—an associate professor of Marketing at The Wharton School—will discuss the findings of her research on the multipronged impact of AI and Machine Learning technologies on the US labor market, in the contexts of similarly disruptive technologies in the past, and the recent advent of Generative AI technologies that are transforming the US labor market as we speak. Based on the takeaways of her novel research, Professor Yildirim will share additional insights on why the recent proliferation of Generative AI technologies can be different from past innovations, how businesses are uniquely impacted, and what can plausibly be inferred about the implications of Generative AI technologies to labor markets outside of the US context.

Join experts in the field AI implementation, responsible AI, and healthcare as we deep dive into the implementation and scale-up of GenAI in BioPharma. Together, we will explore case studies, execution and measurement of outcomes, as well as share a roadmap for responsible AI implementation that can be used in your own organization.

Join experts in the field of AI implementation, responsible AI, and healthcare as we explore how executives are transforming healthcare organizations through GenAI. Together we will discuss key insights on operationalizing GenAI while minimizing risks, as well as the different guardrails to consider across various healthcare sectors.

n this paper, using a novel data set of resumes from approximately 16 million individuals from the United States, we study the career implications of automation and robotization. We calculate the lifetime career value of various occupations, combining (1) the likelihood of future transitions to other occupations, and (2) earning potential of these occupations. We document a downward trend in the growth of career values in the U.S. between 2000 and 2016. We find that while wage growth is slower, the decline in the average career value growth is mainly due to reduced upward occupational mobility. Automation and robotization are factors contributing to the decline of average local labor market career values. In commuting zones that have been more exposed to automation, the average career value has declined further between 2000 and 2016.