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Podcast: Top AI Breakthroughs and Challenges of 2017 with Richard Mallah and Chelsea Finn - Future of Life Institute

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AlphaZero, progress in meta-learning, the role of AI in fake news, the difficulty of developing fair machine learning -- 2017 was another year of big breakthroughs and big challenges for AI researchers! To discuss this more, we invited FLI's Richard Mallah and Chelsea Finn from UC Berkeley to join Ariel for this month's podcast. They talked about some of the technical progress they were most excited to see and what they're looking forward to in the coming year. You can listen to the podcast here, or read the transcript below. In 2017, we saw an increase in investments into artificial intelligence. More students are applying for AI programs, and more AI labs are cropping up around the world. With 2017 now solidly behind us, we wanted to take a look back at the year and go over some of the biggest AI breakthroughs. To do so, I have Richard Mallah and Chelsea Finn with me today.


The real-world potential and limitations of artificial intelligence

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Artificial intelligence has the potential to create trillions of dollars of value across the economy--if business leaders work to understand what AI can and cannot do. In this episode of the McKinsey Podcast, McKinsey Global Institute partner Michael Chui and MGI chairman and director James Manyika speak with McKinsey Publishing's David Schwartz about the cutting edge of artificial intelligence. Today, we're going to be journeying to the frontiers of artificial intelligence. We'll touch on what AI's impact could be across multiple industries and functions. We'll also explore limitations that, at least for now, stand in the way. I'm joined by two McKinsey leaders who are at the point of the spear, Michael Chui, based in San Francisco and a partner with the McKinsey Global Institute, and James Manyika, the chairman of the McKinsey Global Institute and a senior partner in our San Francisco office. Michael Chui: Great to be here. David Schwartz: Michael, where do we see the most potential from AI? Michael Chui: The number-one thing that we know is just the widespread potential applicability. That said, we're quite early in terms of the adoption of these technologies, so there's a lot of runway to go. One of the other things that we've discovered is that one way to think about where the potential for AI is, is just follow the money. If you're a company where marketing and sales is what drives the value, that's actually where AI can create the most value.


The real-world potential and limitations of artificial intelligence

#artificialintelligence

Artificial intelligence has the potential to create trillions of dollars of value across the economy--if business leaders work to understand what AI can and cannot do. In this episode of the McKinsey Podcast, McKinsey Global Institute partner Michael Chui and MGI chairman and director James Manyika speak with McKinsey Publishing's David Schwartz about the cutting edge of artificial intelligence. Today, we're going to be journeying to the frontiers of artificial intelligence. We'll touch on what AI's impact could be across multiple industries and functions. We'll also explore limitations that, at least for now, stand in the way. I'm joined by two McKinsey leaders who are at the point of the spear, Michael Chui, based in San Francisco and a partner with the McKinsey Global Institute, and James Manyika, the chairman of the McKinsey Global Institute and a senior partner in our San Francisco office. Michael Chui: Great to be here. David Schwartz: Michael, where do we see the most potential from AI? Michael Chui: The number-one thing that we know is just the widespread potential applicability. That said, we're quite early in terms of the adoption of these technologies, so there's a lot of runway to go. One of the other things that we've discovered is that one way to think about where the potential for AI is, is just follow the money. If you're a company where marketing and sales is what drives the value, that's actually where AI can create the most value.


The real-world potential and limitations of artificial intelligence

#artificialintelligence

In this episode of the McKinsey Podcast, McKinsey Global Institute partner Michael Chui and MGI chairman and director James Manyika speak with McKinsey Publishing's David Schwartz about the cutting edge of artificial intelligence. Today, we're going to be journeying to the frontiers of artificial intelligence. We'll touch on what AI's impact could be across multiple industries and functions. We'll also explore limitations that, at least for now, stand in the way. I'm joined by two McKinsey leaders who are at the point of the spear, Michael Chui, based in San Francisco and a partner with the McKinsey Global Institute, and James Manyika, the chairman of the McKinsey Global Institute and a senior partner in our San Francisco office. Michael Chui: Great to be here. David Schwartz: Michael, where do we see the most potential from AI? Michael Chui: The number-one thing that we know is just the widespread potential applicability. That said, we're quite early in terms of the adoption of these technologies, so there's a lot of runway to go. One of the other things that we've discovered is that one way to think about where the potential for AI is, is just follow the money. If you're a company where marketing and sales is what drives the value, that's actually where AI can create the most value. If you're a company where operational excellence matters the most to you, that's where you can create the most value with AI.


120 AI Predictions For 2020

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Me: "Alexa, tell me what will happen in 2020." Amazon AI: "Here's what I found on Wikipedia: The 2020 UEFA European Football Championship…[continues to read from Wikipedia]" Me: "Alexa, give me a prediction for 2020." Amazon AI: "The universe has not revealed the answer to me." Well, some slight improvement over last year's responses, when Alexa's answer to the first question was "Do you want to open'this day in history'?" As for the universe, it is an open book for the 120 senior executives featured here, all involved with AI, delivering 2020 predictions for a wide range of topics: Autonomous vehicles, deepfakes, small data, voice and natural language processing, human and augmented intelligence, bias and explainability, edge and IoT processing, and many promising applications of artificial intelligence and machine learning technologies and tools. And there will be even more 2020 AI predictions, in a second installment to be posted here later this month. "Vehicle AI is going to be ...