‘My prediction is [OpenAI are] gonna have to delete their entire algorithm because of one mistake’ – One Trust’s Kabir Barday

Kabir Barday, founder and CEO of One Trust, predicts there will be stronger regulation coming on AI, with companies like OpenAI potentially having to delete entire algorithms if an error is found in the data that trains their LLMs.

“A lot of the problems facing data have always been there. There’s data everywhere. There’s new laws. This stuff’s always been around,” observed Kabir (pictured above).

“What’s new with AI that’s driving the urgency is the fact that there is no machine unlearning. Once you put data into a machine learning algorithm … that data is there permanently.

“That’s different than in the business analytics and dashboarding era where you can just delete data from your data warehouse and it’s done; you can’t do that in AI and regulators have picked up on this.”

Kabir explained that an enforcement action used to entail a fine and a data deletion order, whereas now it may have to be an algorithmic deletion order.

“The FTC, in the last year, I think, just issued their first algorithmic deletion order to a company. Imagine, I don’t know, OpenAI – if one mistake they made in the data [is] put into that LLM, when these regulations pass, they’ll have to delete the entire algorithm,” explained the founder.

“My prediction is that day is going to come [for OpenAI]. My prediction is they’re gonna have to delete their entire algorithm because of one mistake. I think there’s lots of mistakes. All these companies are gonna have this problem, so you have to get this right up front.”

Kabir also shared thoughts on legacy tech companies (like Apple and Microsoft) going all in on AI in the past couple of years, arguing that success in AI tends to favor these established brands over startups.

“This is because established companies have more data, which gives them a competitive edge in developing AI solutions. Even if a startup is the first to create a new AI tool, larger companies can quickly catch up by integrating their own data through open APIs, effectively neutralizing the startup’s advantage.”

“AI favors the incumbent, not the startup, because the differentiation comes from how much data you have, which is proportional to how many customers you already have.”

So if you’re a startup, said Kabir, even if you build a novel AI application, the minute someone builds in an open API and uses their own data, “you’re dead”.

More than 1,600 startups are taking part in Collision 2024 – the highest number of startups ever at a Collision event. 45 percent of these are women-founded, and startups have travelled to Toronto from countries including Nigeria, the Republic of Korea, Uruguay, Japan, Italy, Ghana, Pakistan and beyond.

In total, more than 37,800 attendees have gathered at the event, as well as 570 speakers and 1,003 members of the media, to explore business opportunities with an international audience.

739 investors are attending Collision, including Vinod Khosla, founder of Khosla Ventures; Wesley Chan, co-founder and managing partner of FPV Ventures; and Nigel Morris, co-founder and managing partner of QED Investors, as well as nine companies on the Forbes Midas List, and 12 investors from those firms.

Top speakers at Collision include:
● Geoffrey Hinton, Godfather of AI
● Maria Sharapova, entrepreneur and tennis legend
● Aidan Gomez, founder and CEO of Cohere (an AI for enterprise and large language model company, which raised US$450 million at a US$5 billion valuation in June 2024)
● Raquel Urtasun, founder and CEO of Waabi (a Canadian autonomous trucking company)
● Jeff Shiner, CEO of 1Password (a cloud-based password management tool)
● Dali Rajic, president and COO of Wiz (a cloud security platform)
● Alex Israel, co-founder and CEO of Metropolis (an AI and computer vision platform)
● Jonathan Ross, founder and CEO of Groq (an AI chip startup)
● Keily Blair, CEO of OnlyFans
● Autumn Peltier, Indigenous rights activist

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Useful links
Collision website: https://collisionconf.com/ 
Collision media kit: https://collisionconf.com/media/media-kit  
Collision images: https://flickr.com/photos/collisionconf 
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