The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 12 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Glaser: Executives, customers, and governments do not understand AI technology
“I'm here to tell you as a CEO, it's not going to be your CEO, and it's not going to be your users, and it's not going to be your customers, and it's not going to be your government, because they ultimately don't know how this technology works, and they ultimat…”
Glaser: Open dialogue yields better AI outcomes than closed corporate consortiums
“If we said the CEOs of six companies are gonna get together in a consortium and figure this stuff out, I'd be quite worried, right? But if we said, we're all going to have a series of open dialogues, and we're going to have a pretty open and transparent cultur…”
Glaser: Recent public criticism of Google's internal culture is likely deserved
“The culture there that has taken some beatings recently, I think probably deservedly”
Periscope Data accepts ethical responsibility for how customers use its software
“We try to reject the view that we provide a tool, and therefore we have no responsibility for the tool. You know, it's yours now. Use it. And so we try to do a few things. First of all, we try to accept responsibility for how the tool is being used and act acc…”
Periscope Data intentionally rejects black-box AI in favor of human-operated tools
“We are pretty queasy about, you know, AI in a box. Press this button, AI a thing, it'll predict for you, you're going to be great. We make a tool, we frame it as a tool for data professionals on purpose. The idea is there should be a person making these, you k…”
Glaser: Facebook feed algorithm generated historic business value in computing
“In fact, it would be hard to name a piece of machine intelligence that has generated more business value, maybe in the history of computing, than the rancor that the Facebook team built.”
Glaser: Data professionals must specify how their AI should be restricted
“When you build something like this, when you set out to build something like this, you start to take responsibility for how is it going to be used in the world. As you frame it out, as you put it out there, as you say to the world, here is a cool thing that te…”
Glaser: European-built facial recognition performed worse on non-European faces
“One of them is a facial recognition software, a classifier, and this particular classifier, this particular facial recognition was built by a team of folks of European descent, much like myself, and it turned out to be very good at recognizing faces of Europea…”
Glaser: Chief Data Officers must act as corporate moral authorities
“I think chief data officers can occupy the same role at these companies. If you are thinking about eventually getting to a C-level position at your company, or if you are already a chief data officer, you can be the moral authority internally and externally fo…”
Glaser: A company that silences ethical dialogue is a bad workplace
“And if we feel like we're not having that dialogue, and we feel like we're being told to just put our head down and go back to work and not have this conversation, That, I think, would be more problematic and, ah, evidence of a place where maybe, ah, you don't…”