{"id":28310,"date":"2019-11-18T11:37:59","date_gmt":"2019-11-18T11:37:59","guid":{"rendered":"https:\/\/digileaders.com\/?p=28310"},"modified":"2019-11-21T13:31:33","modified_gmt":"2019-11-21T13:31:33","slug":"government-ai-hype-to-strategy","status":"publish","type":"post","link":"https:\/\/digileaders.com\/government-ai-hype-to-strategy\/","title":{"rendered":"Government and Artificial Intelligence: From hype to strategy"},"content":{"rendered":"

Artificial Intelligence has come a long way since its first introductions. That hypnotically red eye. That eerily meticulous, methodical, and measured voice.<\/p>\n

For decades, HAL 9000, the sentient computer and antagonist extraordinaire in Stanley Kubrik\u2019s\u00a02001: A Space Odyssey<\/em>,\u00a0<\/a>or the gun-wielding, cyborg assassin\u00a0the Terminator<\/a>, have become pop culture\u2019s shorthand for Artificial Intelligence (AI), in all its potential and potential malfeasance.<\/p>\n

Perhaps because these kinds of depictions of AI are so dominant, this technology maintains an aura of intrigue. People continue to treat it with suspicion.<\/p>\n

Yet, real-world usages of AI are increasingly present in our lives. Do you ever check a map to help you avoid traffic while you\u2019re driving? Found your new favourite jam based on a Spotify recommendation? Felt thankful for a tidier inbox because the email client filtered the spam? Said \u201cYES\u201d or \u201cNO\u201d very loudly into your phone so the speech recognition can pick you up? AI technology is underpinning the most every day of habits and actions.<\/p>\n

It is time to build more substantive and nuanced understandings of what this technology\u00a0is\u00a0<\/em>and\u00a0what<\/em>\u00a0it is capable of doing. In the public sector, the potential exists for AI to have a positive impact on governments and ultimately on citizens\u2019 lives.<\/p>\n

As with many promising technologies, there is a lot of hype. If we don\u2019t see AI as some kind of threat to humanity then we often reduced to a magical \u201cblack box\u201d: simply input some data and it will spit out something innovative. With so many (mis)characterisations AI can seem either like a technology in search of a problem or a technological cure-all.<\/p>\n

AI influences government and government influences AI<\/h4>\n

Fundamentally, AI technology can influence what the government does and how it operates.<\/p>\n

As a regulator, developer of policy or provider of public services and goods, the government is not just a mere user of this technology. It can participate in the development of AI by implementing regulations that protect citizens while encouraging the creative use of technology. It can invest in AI research, sponsoring experimentation and pilot projects. It can foster collaboration with the private sector and with citizens to co-create solutions and drive demand for AI.<\/p>\n

The multiple (and potentially) simultaneous roles government can play in relation to AI must be played strategically and with purpose. AI initiatives have the potential to be completely paradigm shifting and risky, government should have a considered AI management strategy. Around the world, at least 38 countries plus the European Union have developed\/ developing, a national AI strategy to establish a strategic vision and approach to AI and to align the capacities, norms and structures of the relevant actors and ecosystems.<\/p>\n

Here at the OECD Observatory of Public Sector Innovation,\u00a0we\u2019ve reviewed these strategies<\/a>\u00a0to understand what elements make for good ones. From this research, we can say that robust strategies are:<\/p>\n

1. Systems focused<\/h4>\n

AI strategies may be most useful when they are holistic and systems focused.<\/p>\n

These strategies encompass all the various levels of government and are attuned to structures and systems within the public sector that AI can influence or are trialed within. They are also considerate of the interactions of other sectors and stakeholders.<\/p>\n

The government would be wise to consider what sort of cross-government and cross-sector councils, networks or communities could best support the diffusion of information and practices related to AI and develop the kind of guiding principles for the entire system that offers clear directions without stifling flexibility and experimentation.<\/p>\n

For example, the\u00a0UK Government\u2019s AI Council and Centre for Data Ethics and Innovation<\/a>\u00a0is an independent expert committee developed to advise on how to stimulate the adoption of AI, promote its ethical use and maximise its contribution to economic growth. It consists of leaders from business, academia and civil society to foster cross-sectoral collaboration within the AI community.<\/p>\n

2. Trustworthy and fair<\/i><\/h4>\n

Government needs to develop a trustworthy fair, and accountable approach to using AI and must keep a steady hand on the\u00a0legal and ethical frameworks<\/a>\u00a0surrounding the development and use of this technology, always ensuring that they keep pace with its evolution.<\/p>\n

As much as we should always push the boundaries in this emerging area of research and practice, AI technology and AI systems should always be designed in ways that respect human rights, democratic values and diversity. Government plays an important safeguarding role to ensure that there is still scope for human (and humane) intervention in AI systems, so fair and just outcomes for society can be maintained.<\/p>\n

3. Data-enabled and secure<\/h4>\n

Data is an asset that needs to be managed well through its lifecycle. Secure ethical access to, and use of, quality data, means that people\u2019s privacy and security are protected and\u00a0bias<\/a>\u00a0is mitigated.<\/p>\n

4. Flexible with talent\u00a0<\/i><\/h4>\n

Government should build internal capability and capacity so that public servants can procure, use, manage and evaluate AI initiatives.<\/p>\n

AI could very well assume functions that people historically performed. However, its purpose is not to replace human endeavour, rather it is to enhance, accelerate or augment it. In addition to bolstering internal capacity with AI, government needs to consider how it works with external actors or partners, such as the private sector, in order the balance the strengths of each to achieve public missions.<\/p>\n

How to manage AI<\/h4>\n

Combining all these elements is no small feat.<\/p>\n

Government should continually revisit and rework its strategy as the technology evolves. For government to innovate using AI, a portfolio approach may prove useful. Government may use different strategies for managing AI based on the innovation facet considered or also use AI to drive innovation in each facet.<\/p>\n