The UK government has introduced an enterprise AI assurance platform.
As part of a larger initiative to support the UK’s emerging AI assurance sector, the government is developing an artificial intelligence (AI) assurance platform to assist companies nationwide in identifying and reducing the possible risks and damages posed by the technology.
The platform was launched on November 6, 2024, to serve as a one-stop shop for AI assurance by centralizing existing assurance tools, services, frameworks, and practices. This includes the portfolio of AI assurance techniques guidance previously developed by the Department for Science, Innovation, and Technology (DSIT) and an introduction to AI assurance.
While AI offers “incredible potential” to enhance public services, increase productivity, and revive the economy, according to digital secretary Peter Kyle,
“The actions I’m announcing today will help to deliver exactly that – making the UK a true hub of AI assurance expertise while also providing businesses with the guidance and support they need to use AI responsibly and safely.”
According to a DSIT paper on the future of AI assurance in the UK, “AI Management Essentials [AIME] will provide a simple, free baseline of organizational good practice, supporting private sector organizations to engage in the development of ethical, robust, and responsible AI.”
The UK government sees AI as a field in which it can gain a competitive edge, and the creation of ethical and safe AI systems is at the heart of this ambition. To further support the government’s vision, the Systemic AI Safety Grants program will be administered by the UK’s AI Safety Institute (AISI), which was established by former prime minister Rishi Sunak in the lead-up to his government’s AI Safety Summit in November 2023.
The program will provide up to £200,000 in funding to researchers who are working to make the technology safer. Additionally, the department will aim to assist this objective by expanding the provision of third-party AI assurance, per DSIT’s AI assurance market research.
Common AI rules, guidelines, and standards
The assurance platform debut was accompanied by the AISI’s announcement of a partnership agreement with Singapore, whereby the AI safety institutes of both nations will cooperate to further research and work toward a common set of guidelines, norms, and rules.
Specifically noteworthy is our collaborative backing of the global network of AI Safety Institutes (AISI). To ensure that our people and enterprises can confidently use AI and get the benefits of its wider use, we aim to improve AI safety by bolstering the capabilities of our AISI.
Open AI Suggests a US-Led International Partnership to Develop AI Facilities
On Wednesday, November 13, Open AI allegedly suggested that the US and its allies work together on artificial intelligence (AI) to “revitalize the American Dream” and more effectively compete with China’s AI initiatives.
In its vision, the business suggested that the AI partnership start with the United States and its neighbors and then spread to include U.S. allies worldwide, according to the Bloomberg article. The policy strategy for Open AI also suggests that the United States should facilitate energy infrastructure projects, facilitate the restart of nuclear reactors, and enlist the U.S. Navy to assist in increasing nuclear energy capacity to fulfill the energy demands of AI.
According to a report in September, Open AI intends to gather international investors to invest tens of billions of dollars in AI infrastructure in the United States. Data centers, generators and turbines, and semiconductor manufacturing are among the projects that are planned.
At the time, an Open AI representative told Bloomberg that the business thinks these kinds of facilities are essential to developing sophisticated AI and bringing it to a wider audience. According to Open AI’s policy roadmap, the United States should facilitate energy infrastructure projects, facilitate the restart of nuclear reactors, and enlist the U.S. Navy to assist in increasing nuclear energy capacity in order to fulfill AI’s energy demands.