“. . . for AI, we need to have more comprehensive governance that includes everything from ethics to explainability to accountability to bringing together all of the operational side of a model. Is it working properly? Is it being retrained continuously? Is it getting better? Does it need to be retired? But also, wedding that to some of these broader customer-relevant and employee-relevant issues.” [15:17]
“ . . . what AI is trying to do using probability is creating new conundrums that the business isn’t used to dealing with. And people aren’t very good at probabilistic thinking in the first place. So I think unfortunately, it’s one of these cases where you’ve got to bring everyone together to do this internally. My colleague Michele Goetz and I did a whole bunch of interviews around this. And we found that even some really large, sophisticated technology companies haven’t mastered every dimension of AI governance.” [16:09]
A human-centered view of artificial intelligence [9:21]
The coming decade of job loss, job gains, and job transformation [24:49]
Gownder’s science fiction recommendations, which tackle inequality, climate change, and AI [27:24]
“Most adults don’t know how machine learning works, how the face recognition on the phone works, what’s behind all of this. And that’s the idea -- kind of unpacking this black box of AI technologies because it’s everywhere.
“When you don’t know something, it can be very scary. You don’t know what the implications are and so you tend to sort of shut it down even more, and you’re resistant to any kind of re-skilling, up-skilling, which will have to happen no matter what.” [3:44]
Other Episode Highlights
A Focus on Grassroots AI [6:34]
How Technovation Demystifies AI [24:39]
The Technovation “Trick”: Adults and Kids Learn AI Together [26:51]
“I definitely think we need a public conversation about what our expectations are for AI. So it’s not just ‘I want more accurate AI.’ It’s do we want AI doing particular things? We need to bring together, I would say, people from different walks of life.
“So you’ve got your scientists that we all think about, but also your ethicists and your business leaders, your citizens, your policymakers, and have more of a joint dialogue about what we want from AI systems. They are different than software we’ve had in the past because of the reach and the power that they really have the ability to amplify the best and the worst of what we can do.” [20:40]
Other Episode Highlights
Striking Examples of AI Failure [5:10]
Why Talking to Data Scientists Gives Her Hope [18:45]
“If we don’t want to be seen as the cigarette executives of 2040 or 2050, I think it behooves us, as people who love technology, who are in positions of some responsibility or a lot of responsibility, to use technology in a way that we won’t be the villains in the movies that are made about what went on now in another generation or two.”
“. . . the people in the plastics industry are not particularly held in high esteem now, because we can see the damage that has been done. The waste in the oceans, that those people weren’t particularly interested in the sort of damage that they unleashed, if you like. And that’s clearly the discussion we’re beginning to have around some aspects of technology at the moment.” [22:42]
Other Episode Highlights
The Machine Learning Demo that Scared Him [11:51]
The Modern Relevance of Orwell’s 1984 [18:32] — Ben says the book was published on June 9th, but it was actually published June 8th. We’re inclined to let this slide.
Regulation: Adding Traffic Signs to the Information Superhighway [27:35]
New Year, new skills — the Infinia ML team tried a hand at axe throwing during our annual holiday party on January 10th, 2020. While everyone went home with all of their fingers still intact, we did discover that a few members of our data science team have been harboring their hidden talent.
A company-wide bracket competition led to a final showdown between our COO, Rob Delaney, and Principal Data Scientist, Patrick Rabenold. While both threw valiantly, it was Patrick that became Infinia ML’s Next Top Axe Thrower.
James Kotecki, our Director of Marketing and Communication, recently spoke at the Strata Data Conference in New York City. From the description:
Miscommunication between business leaders and technical experts can doom even the best data science project. Don’t let it drive you insane! In this session, we’ll dissect many flavors of communication failure, from goal misalignment to machine learning misunderstanding. Then, we’ll explore practical ways to bridge these gaps.
In the coming weeks, I will be transitioning out of the CEO role to become a Senior Advisor to Infinia ML. I’m proud of what we’ve built, and I believe fresh leadership can help take Infinia ML to the next level. To do that, Rob Delaney is joining Infinia ML as Chief Operating Officer.