Algorithm Pricing – Is it Fairer Than Human-Set Standards?
Research from Columbia Business School Reveals How Consumers Perceive Pricing Set by Algorithms
Research from Columbia Business School Reveals How Consumers Perceive Pricing Set by Algorithms
Digital media platforms such as Netflix, Facebook, and TikTok are under increasing scrutiny regarding the ethical implications of their personalized content recommendations. To combat bias and avoid skewed content suggestions, sophisticated algorithms can perform additional layers of analysis to ensure that recommendations give space to topics such as racial equity, sexuality, and political persuasion. However, doing this in real time with the conventional algorithmic approach would greatly increase page-load times and create a frustrating user experience.
Tech firms are mobilizing users to influence policymakers, but the strategy’s effectiveness is a double-edged sword.
Columbia Business School is taking an interdisciplinary approach to analyzing the impact of AI-based algorithmic forecasting and the issues that come with it.
Several prominent leaders from the tech and business sectors have visited Columbia Business School to share their perspectives on the growing role of artificial intelligence in the workplace. Here’s what they told us.
A recent CBS graduate shares firsthand experience of the escalating influence of AI across education, work dynamics, business landscapes, and societal structures.
CBS Professor Sandra Matz discusses the power of our digital footprint, its value as a marketing tool, and its unharnessed potential to shape our perspectives.
From dating to organ donation, this year's Marketplace Innovation Workshop explores how advances in technology can drive social good.
Carri W. Chan, the John A. Howard Professor of Business at CBS and the Faculty Director of the School's Leadership & Strategy & Strategy and Pharmaceutical Management Program, discusses her data-driven research into how Leadership & Strategy & Strategy operations can be improved.
The study of data-driven algorithmic decision-making is at the heart of the new Algorithmic Economy Lab.