Elon Musk to attend AI Summit in the UK

The summit, hosted at the historic Bletchley Park, aims to assemble AI experts and international leaders to deliberate on the potential hazards posed by artificial intelligence.

Rishi Sunak, the UK Prime Minister, has announced plans to conduct a live interview with Musk following the event on Thursday. Noteworthy attendees are set to include US Vice-President Kamala Harris and European Commission President Ursula von der Leyen. Sources from the BBC indicate that Sam Altman from Open AI and Nick Clegg from Meta are also expected to be present, along with a range of other influential figures from the tech world.

Yoshua Bengio, often referred to as one of the pioneers in the AI domain, confirmed his participation to the BBC.

In a post on the platform X, previously known as Twitter, Prime Minister Sunak stated: "In conversation with Elon Musk. After the AI Safety Summit. Thursday night on X."

The advancements in artificial intelligence in recent times have been recognised as groundbreaking. However, there are growing concerns about their potential implications, with some fearing they might pose a significant threat to humanity. These advances could result in extensive job losses and could amplify the spread of disinformation.

Earlier this week, President Joe Biden ratified an executive order mandating AI developers to disclose safety findings to the US government. However, there is speculation that Musk might advocate for more comprehensive measures on an international scale.

In the past, Musk has been vocal about his concerns regarding AI. In March, he endorsed an open letter urging a hiatus on ‘Giant AI Experiments’. Furthermore, in a discussion with the BBC in April, Musk expressed his apprehensions about AI safety, which he has held for over a decade. He stated: "I think there should be a regulatory body established for overseeing AI to ensure that it does not pose a threat to the public."

Musk has also been critical of certain AI companies, particularly concerning the data they utilise to train chatbots. These chatbots are designed to learn human interaction patterns by analysing vast amounts of data from diverse sources to enhance their knowledge and interaction capabilities.