The AI Council recognized that its roadmap of sixteen recommendations which is regarding the skills, data, infrastructure, adoption, R&D, infrastructure, diversity, public, investment and trust, would need to be revealed out over time and thus, it encouraged the UK government to produce a National AI strategy.
In its media, the National AI Strategy, has a plan for ten-year to make the UK a global AI superpower building on R&D success in the field as well as a previous AI Sector Deal investment and establishment of AI bodies and structures.
The Strategy revealed some of the specific goals for the UK to experience major growth in AI discoveries made, commercialized and exploited in the UK, productivity growth and associated economic and to established a trusted and pro-innovation AI governance system. Moreover, the strategy mirrors other recent publications, highlighting the UK government's desire to offer a pro-innovation environment with a business-friendly regulatory framework, whilst protecting the public and basic primary values.
The Strategy differentiates AI from some other innovative technology or digital policy, which calls out features that the UK government considers requiring a unique policy response. These even include, for example, questions regarding the fairness, liability, risk, transparency bias and safety arising from the AI system autonomy and algorithm complexity; challenges regarding greater infrastructure requirements necessary to perform; lengthy commercialization journeys and multiple skill sets necessary.
The three pillars
The National AI Strategy consist of three core pillars:
- Supporting the transition to an AI-enabled economy considering all regions and sectors.
- Investment in long-term needs of the AI ecosystem to make sure competitiveness.
- Ensuring the right international and national governance of AI technologies working with the global partners to promote responsible AI development.
It helps to identify the data, people, finance and computing power as being key drivers to discovery, progress and strategic advantage in AI and assuming that AI will become major mainstream in the economy and that major governance and regulation will need to keep up the good pace, the Strategy specifies particular actions to pursue.
Some of the major key actions
Furthermore, in order to meet the specified pillars, the Strategy flags various highlights and initiatives, albeit at a high level, the potential for new actions, by considering talent recruitment, skills development, infrastructure, security, international collaboration, regional investment, infrastructure, governance and more.
Some of the actions that have been identified include:
AI standards and assurance
Technical standards are recognized in the Strategy as a good practice for efficiency, efficiently and safely. In that context, the Strategy even revealed that the desire to integrate the use of Artificial Intelligence standards as a part of the AI governance model. Proposals include the pilot of the AI standards hubs to expand international engagement and, via leadership, determination as well to develop a toolkit to guide engagement in the form of standardization.
Moreover, assurance is viewed as a different way of understanding the trustworthy and safe nature of AI systems, but it is acknowledged that the current assurance ecosystem is fragmented. The upcoming CDEI AI assurance roadmap is thus promoted as an efficient step in the right direction.
A new National AI Research and Innovation Programme
Launched by the UKRI, this new program will be designed to align funding programs, encourage investment in AI research, enable cross-discipline collaboration to support innovation and research, and support the continuing development of new capabilities across the transparency, acceptability, trustworthiness, and adaptability of AI technologies.