Sports analytics may be outnumbered when it comes to artificial intelligence

Philadelphia 76ers' Daryl Morey pauses while speaking at a news conference before an NBA basketball game against the Atlanta Hawks, Friday, Feb. 9, 2024, in Philadelphia. (AP Photo/Matt Slocum)

BOSTON (AP) 鈥 When it comes to artificial intelligence, the sports analytics crowd may be outnumbered.

The people who killed the sacrifice bunt and turned NBA games into a 3-point shooting contest aren鈥檛 quite sure what will happen when AI fully invades sports 鈥 whether in the front office or on the field.

鈥淚鈥檝e been in computer science a long time. This is the first thing we don鈥檛 understand,鈥 Philadelphia 76ers team president Daryl Morey said Friday at the MIT Sloan Sports Analytics Conference.

鈥淭hat鈥檚 mind-boggling,鈥 Morey said. 鈥淲e鈥檝e actually now created something, with 0鈥檚 and 1鈥檚, where every step we鈥檝e made the creation, but we don鈥檛 understand the results.鈥

The MIT conference annually brings together thousands of number-crunching sports nerds, who turn their data models loose on hot topics such as , or . But this year鈥檚 gathering had a decidedly AI focus, with panels and working papers on the potential for generative artificial intelligence to transform sports.

One talk looked at baseball strategy, another on how to provide Olympic content for the 200-plus countries competing in four dozen different sports, and a research paper used AI to provide player tracking data from a soccer broadcast.

Morey, one of the conference鈥檚 founders, was on a panel called 鈥淲inning with AI: The future of AI in sports.鈥 The discussion touched on potential for improvements in scheduling, player safety, advertising, ticket sales and broadcasts that convert the on-field action into a Disney cartoon.

Kevin Lopes, an ESPN vice president for development and innovation, compared AI to the iPhone, which transformed everyday life by giving everyone with some coding skills the chance to come up with their own applications.

鈥淚 think about that when I think about generative AI,鈥 Lopes said. 鈥淚 don鈥檛 think anyone quite knows what that is yet. That鈥檚 fascinating to me, and what鈥檚 going to be the next thing.

鈥淲e exist in this moment in history, in my humble opinion, that every day we鈥檙e seeing new incremental innovations in AI,鈥 he said. 鈥淲hat鈥檚 it going to be for the freshman at MIT in two years.鈥

Make no mistake, though: AI is already here.

Ballplayer-turned-broadcaster Carlos Pe帽a said AI can be used to help a batter eliminate his blind spots. (But players will resist, he said, unless it鈥檚 stripped of its 鈥渕athiness鈥 and translated into simple guidance such as, 鈥渓ook for the fastball up and in.鈥)

Anticipating complaints from scouts and others who say analytics can鈥檛 replace intuition, Pena said: 鈥淭hat鈥檚 not what we鈥檙e trying to do here. What we鈥檙e trying to do is enhance intuition.鈥

Christopher Jackson, the head of digital data and analytics for the Olympics, said AI can help create website content to satisfy fans of lower-profile sports from far-flung countries that usually don鈥檛 draw the attention of the mainstream media. One problem: Olympic planning is measured in decades, while major changes in AI come around every six months or so.

Amazon Web Services global head Julie Souza said the NFL is saving $2 million a year by running AI on its schedule, which has 1 quadrillion 鈥 that鈥檚 a one followed by 15 zeros 鈥 potential options that must account for holidays, shared stadiums and travel. AI is already dissecting which plays 鈥 and even which bodily poses 鈥 are most likely to cause injuries in a football game, she said.

鈥淩ules are changing to make the game safer, to make the players more protected,鈥 Souza said, adding that the information can trickle up from football to the military and others.

鈥淚t鈥檚 not just the NFL benefitting from this,鈥 she said. 鈥淲e鈥檙e not going back. There鈥檚 no way to go back from this. We鈥檙e just learning more and making the game safer. Which is great not just for the league, but for us on fans to have our players on the field more.鈥

Morey said the 76ers use AI for productivity 鈥 speeding up routine tasks 鈥 but it isn't quite sharp enough yet to outdo the humans they have trying to improve their predictive modeling. 鈥淲e haven鈥檛 found a ton there, but that will change,鈥 he said.

And they will keep trying.

鈥淭here鈥檚 a lot of scary things with this, but it sort of is. This is happening,鈥 Morey said. 鈥淭here isn鈥檛 going to be a way to do all the safety stuff. 鈥 There isn鈥檛 actually going to be any way to control it. You really just lean into it, honestly, to help your business, to help what you鈥檙e doing.

鈥淎nd there could be a very scary thing you hit. But what鈥檚 the alternative? Not embracing it?鈥 he said. 鈥淭hat makes no sense.鈥

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