Mustafa Suleyman

Entrepreneur

Birthday August 1, 1984

Birth Sign Leo

Age 39 years old

Nationality United Kingdom

#11239 Most Popular

1984

Mustafa Suleyman (born August 1984) is a British artificial intelligence (AI) researcher and entrepreneur.

Suleyman was the co-founder and former head of applied AI at DeepMind, an AI company acquired by Google.

After leaving DeepMind, he co-founded Inflection AI, a machine learning and generative AI company, in 2022.

Suleyman's father is a Syrian-born taxi driver and his mother is an English nurse.

He grew up off Caledonian Road in the London Borough of Islington, where he lived with his parents and his two younger brothers.

Suleyman went to Thornhill Primary School, a state school in Islington, followed by Queen Elizabeth's School, a boys' grammar school in Barnet.

Around that time, he met his DeepMind co-founder, Demis Hassabis, through his best friend, Demis's younger brother.

Suleyman shared that he and Hassabis would discuss about how they could make a positive impact on the world.

Suleyman initially attended Mansfield College, Oxford, before dropping out at the age of 19.

After dropping out of university at 19, Suleyman helped start the Muslim Youth Helpline with his university friend Mohammed Mamdani, a telephone counselling service.

The organization would later become one of the largest mental health support services for Muslims in the UK.

Suleyman subsequently worked as a policy officer on human rights for Ken Livingstone, the Mayor of London, before going on to start Reos Partners, a ‘systemic change’ consultancy that uses methods from conflict resolution to navigate social problems.

As a negotiator and facilitator, Mustafa worked for a wide range of clients such as the United Nations, the Dutch government, and the World Wide Fund for Nature.

Suleyman co-founded DeepMind Technologies, an artificial intelligence (AI) and machine learning company, and became its chief product officer.

The company quickly established itself as one of the leaders in the AI sector and was backed by Founders Fund, Elon Musk and Scott Banister, among others.

2014

In 2014 DeepMind was acquired by Google for a reported £400 million, the company's largest acquisition in Europe at that time.

Following the acquisition, Suleyman became head of applied AI at DeepMind, taking on responsibility for integrating the company's technology across a wide range of Google products.

2016

In February 2016 Suleyman launched DeepMind Health at the Royal Society of Medicine.

DeepMind Health builds clinician-led technology for the NHS and other partners to improve frontline healthcare services.

Under Suleyman, DeepMind also developed research collaborations with healthcare organizations in the United Kingdom, including Moorfields Eye Hospital NHS Foundation Trust,

In 2016, Suleyman led an effort to apply DeepMind's machine learning algorithms to help reduce the energy required to cool Google's data centres.

The system evaluated the billions of possible combinations of actions that the data centre operators could take, and came up with recommendations based on the predicted power usage.

The system discovered novel methods of cooling, leading to a reduction of up to 40% of the amount of energy used for cooling, and a 15% improvement in the buildings' overall energy efficiency.

2019

In August 2019, Suleyman was placed on administrative leave following allegations of bullying employees.

The company hired an external lawyer to investigate, and shortly thereafter Suleyman left to take a VP role at parent company Google.

An email circulated by DeepMind's leadership to staff after the story broke, as well as additional details published by Business Insider, said Suleyman's "management style fell short" of expected standards.

Since June 2019, Suleyman has served on the board of The Economist Group, which publishes The Economist newspaper.

In December 2019, Suleyman announced he would be leaving DeepMind to join Google, working in a policy role.

Suleyman left Google in January 2022 and joined Greylock Partners as a venture partner and in March 2022, Suleyman co-founded Inflection AI, a new AI lab venture with Greylock's Reid Hoffman.

The company was founded with the goal of leveraging "AI to help humans 'talk' to computers," recruited former staff from companies such as Google and Meta and raised $225 million in its first funding round.

In 2023, Inflection AI launched a chatbot named “Pi” for Personal Intelligence.

The bot “remembers” past conversations and seems to get to know its users over time.

According to Suleyman, the long-term goal for Pi is to be a digital “Chief of Staff”, with the initial design focused on maintaining conversational dialogue with users, asking questions, and offering emotional support.

Suleyman is prominent in the debate over the ethics of AI and has spoken widely about the need for companies, governments and civil society to join in holding technologists accountable for the impacts of their work.

He has advocated redesigning incentives in the technology industry to steer business leaders toward prioritising social responsibility alongside their fiduciary duties.

Within DeepMind he set up a research unit called DeepMind Ethics & Society to study the real-world impacts of AI and help technologists put ethics into practice.

Suleyman is also a founding co-chair of the Partnership on AI – an organisation that includes representatives from companies such as Amazon, Apple, DeepMind, Meta, Google, IBM, and Microsoft.

The organisation studies and formulates best practices for AI technologies, advances the public's understanding of AI, and serves as an open platform for discussion and engagement about AI and how it affects people and society.

Its board of directors has equal representation from non-profit and for profit entities.

In September 2023, Suleyman, in collaboration with researcher Michael Bhaskar, released the book The Coming Wave, Technology, Power and the 21st Century's Greatest Dilemma, which discusses the inevitability of dangers from unconstrained AI and synthetic biology technologies, the near impossibility of containing them, and a possible set of solutions to contain them.