How to avoid pitfalls around data privacy, bias, misinformation, generative AI, and more. While the question of how organizations can (and should) use AI isn’t a new one, the stakes and urgency of finding answers have skyrocketed with the release of ChatGPT, Midjourney, and other generative AI tools. Everywhere, people are wondering: How can we use AI […]
In this episode, we speak with Harvard Business School Professor Mike Luca about the role of platform design choices in reinforcing discrimination, how data experiments offer insights for managers, and what the future could hold if organizations continue to pay attention to these issues.
In this episode, we speak with Laura N Montoya from Accel.AI about the inherent correlation between underrepresentation and bias, the need to support communities building tech systems, plus advice for young people looking to get into the tech space.
In this episode, we speak with Lumumba Seegars from Harvard Business School about the challenges and limitations employees face when participating in Employee Resource Groups, how organizational leaders can be more effective allies, and the critical importance of intersectional approaches to any work involving change.
In this episode, we speak with Dr. Christine Marie Ortiz Guzman from Equity Meets Design about equity design and designers, organizational responsibilities to change, and the relationship between capital and lowercase “d” designers.
In this episode, we speak with Candice Morgan from GV (formerly known as Google Ventures) shares how to navigate inclusive strategies in organizations; how the “summer of protest” has moved the dial of accountability; and how the venture space can better practice antiracism.
In this episode, we talk with Dr. Ifeoma Ajunwa from the University of North Carolina School of Law about the legal and ethical implications of workplace surveillance in the age of remote work, wearable tech, and DNA testing.
The way to mitigate the effects of negativity about a brand is to try to tip the balance towards the voices of more positive brand allies.
When seemingly ridiculous rumors become talking points, it’s time to focus on brand-building.
By requiring us to determine what we count as “fair,” machine learning puts the burden on us to choose which values we deem relevant.