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The Limitations of Human-in-the-Loop AI with Dennis Mortensen - TWiML Talk #67

The Limitations of Human-in-the-Loop AI with Dennis Mortensen - TWiML Talk #67

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


The Limitations of Human-in-the-Loop AI with Dennis Mortensen - TWiML Talk #67

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
36 minutes
Released:
Nov 13, 2017
Format:
Podcast episode

Description

We continue our NYU Future Labs AI Summit interview series with Dennis Mortensen, founder and CEO of X.ai, a company whose AI-based personal assistant Amy helps users with scheduling meetings. I caught up with Dennis backstage at the Future Labs event a few weeks ago, right before he went on stage to talk about “Investing in AI from the Startup POV.” Dennis gave shares some great insight into building an AI-first company, not to mention his vision for the future of scheduling, something no one actually enjoys doing, and his thoughts on the future of human-AI interaction. This was a fun interview, which I’m sure you’ll enjoy. A quick warning though… This might not be a show to listen to in the car with the kiddos, as this episode does contain a few expletives. The notes for this show can be found at twimlai.com/talk/67 For series information, visit twimlai.com/ainexuslab2
Released:
Nov 13, 2017
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.