Amazon Alexa creator believes most companies are getting AI wrong

Keen gamers will recognise the code needed to activate Alexa's 'super mode'

William Tunstall-Pedoe, the brains behind Amazon's voice assistant Alexa, has expressed concern that many firms attempting to incorporate AI into their operations are failing, as reported by City AM.

"Pretty much every medium and large business out there is trying to bring AI into their business," he disclosed to City AM. "But a lot of these projects are failing, and the reason why they're failing is because the [machine learning] ML piece doesn't work well enough."

"It isn't trustworthy enough, goes wrong every now and then in a way that potentially costs money or is outside of regulatory requirements, or is brand damaging," he further added.

After selling his voice assistant startup, Evi Technologies, to Amazon in 2012, he contributed to the development of Alexa, but currently, he is focusing on a new venture, Unlikely AI.

Although the deep tech startup has largely remained under wraps so far, Tunstall-Pedoe revealed it aims to address the issues that are causing many companies using large language models (LLMs) to stumble, such as bias, hallucination, accuracy and trustworthiness.

"We are trying to create a platform that addresses all these problems, so in industries that are particularly high risk, and that includes finance, that includes health, anything to do with people, we're basically creating an AI platform that's trustworthy and explainable, so that businesses can apply AI in a very confident way," he elucidated.

London's Unlikely AI, an emerging tech firm, has secured a substantial $20m (£15.4m) in seed funding led by Amadeus Capital and Octopus Ventures as it advances its innovative technology.

The company is bolstering its workforce and recently welcomed onboard the experienced Fred Becker, a former Skype executive, as chief administrative officer, along with Tom Mason, formerly of Stability AI, taking on the role of chief technology officer.

Mason commented on the potential of Unlikely AI's platform, noting its capacity for enabling firms to tackle intricate issues, such as streamlining the customer claims processes against corporate policies in a way that's predictable", offering a stability that traditional language models might not.