Date: Fri, 28 Feb 2020 05:00:00 -0500
<p>On this week’s episode, Karen Hao, Senior AI Reporter at the MIT Technology Review, shares what it’s like to cover AI in the peak of the hype cycle. We’ll walk through the dangers of inaccurate AI reporting, striking the delicate balance between realistic and exciting, and the what, where, and how we should be reading about AI in the news.</p><p>Karen Hao is the artificial intelligence reporter for MIT Technology Review. In particular she covers the ethics and social impact of the technology as well as its applications for social good. She also writes the AI newsletter, the <a href="https://forms.technologyreview.com/the-algorithm/">Algorithm</a>, which thoughtfully examines the field’s latest news and research. Prior to joining the publication, she was a reporter and data scientist at Quartz and an application engineer at the first startup to spin out of Google X.</p><p>Be sure to subscribe to our weekly<a href="https://banana-data.com/"> newsletter</a> to get this podcast & a host of new and exciting data-happenings in your inbox! </p>