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Your Guide To Developing Responsible AI Best Practices Day by day, AI and its complexity is evolving at breakneck speed. With this growth and newfound risks, one thing is clear: We need standardized regulation for AI. The reality? Government regulation
Estée Lauder’s Journey to Building Its Own Ethical AI Practice This article is part of a series featuring big brands that are building responsible AI solutions to solve real problems—and what we can learn from them. To receive more trustworthy
Deep Space, Deep Learning, and Dungeons & Dragons: A Conversation With Nick Napier Before Nick Napier realized he wanted to use machine learning to optimize global travel, prevent mental health crises, and alleviate some of businesses’ biggest problems, he was
Who Is Responsible for AI’s Mistakes? This post is part of a series that features answers to top AI questions, straight from our data scientists. To receive similar content to your inbox, subscribe to our monthly email digest. Strategizing, designing,
Artificial Intelligence (AI) is often portrayed as a magical black box where data goes in and something like a self-driving car comes out. Unfortunately, the magical black box is subject to any constraints on data going in. For example, poor
As practitioners and consumers of data science, how do we make ethical decisions when confronted with thorny dilemmas in artificial intelligence (AI)? How do we even recognize when those dilemmas emerge before they become public relations catastrophes? Humanities and social
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