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Photo by — @insolitus

OECD AI’s Policy Areas

Facilitating an Inclusive Platform for AI Policy

One of the organisations steadily working for international collaboration is The Organisation for Economic Co-operation and Development (OECD).

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  • Evidence-based analysis. The Observatory provides a centre for the collection and sharing of evidence on AI, leveraging the OECD’s reputation for measurement methodologies and evidence-based analysis.
  • Global multi-stakeholder partnerships. The Observatory engages governments and a wide spectrum of stakeholders — including partners from the technical community, the private sector, academia, civil society and other international organisations — and provides a hub for dialogue and collaboration.”
  1. Competition. Big data and AI-powered pricing algorithms are changing the competitive context and corporate commercial and strategic decision-making.
  2. Corporate governance. AI calls for responsible corporate governance to build the environment of trust, transparency and accountability necessary to foster the adoption and growth of trustworthy AI.
  3. Development. AI can create opportunities for economic development and contribute to addressing social, economic or environmental challenges.
  4. Digital economy. AI impacts every field of digital economy policy, including data governance, privacy, digital security, communications networks and online consumer protection.
  5. Economy. Through less expensive and more accurate predictions, recommendations or decisions, AI promises to generate productivity gains, improve well-being and help address complex economic challenges.
  6. Education. Education policy will need adjusting to AI. At the same time, educational increasingly leverage AI technologies that enable novel ways of teaching, learning and skills development.
  7. Employment. AI is widely expected to change the nature of work as it diffuses across sectors. It will complement humans in some tasks, replace them in others and also generate new types of work.
  8. Environment. By analysing the flood of climate data being generated everyday, AI is being used to spot patterns and produce more accurate predictions to better respond to the impact of climate change.
  9. Finance and insurance. AI is being used in the financial sector to improve customer experience, increase the security of systems, identify smart investment opportunities and produce personalised credit scores.
  10. Health. In healthcare, AI systems help diagnose disease and prevent outbreaks, discover treatments, tailor interventions and power self-monitoring tools. They can facilitate personalised healthcare and precision medicine.
  11. Industry and entrepreneurship. AI, big data and the overarching digital revolution are bringing new opportunities for businesses by helping them tackle common customer and productivity pain-points. AI tools and an enabling digital setting could help strengthen entrepreneurship and SME ecosystems.
  12. Innovation. AI could increase the productivity of science, enable novel forms of discovery and innovation in most fields and enhance the reproducibility of scientific research.
  13. Investment. AI holds promise to help track and optimise international investment flows and international co-operation, advancing growth and sustainable development. At the same time, companies, governments and private equity firms are stepping up investments in AI.
  14. Public governance. AI tools can enhance the efficiency and quality of public services, and are already impacting how the public sector works and designs policies to serve citizens and businesses. (See also Observatory on Public Sector Innovation)
  15. Science and technology. AI is becoming indispensable in science to analyse and generate insights from vast amounts of data, tackle complex computational problems, and improve hypothesis generation and experimental design.
  16. Social and welfare issues. AI can help advance the Sustainable Development Goals (SDGs) and produce more inclusive societies. At the same time there is concern that is could have a disparate impact on vulnerable and under-represented populations.
  17. Tax. AI could help increase tax compliance and the efficiency of tax administration. At the same time, AI may accelerate automation and impact the design of tax allocation and transfer pricing rules.
  18. Trade. AI could help increase tax compliance and the efficiency of tax administration. At the same time, AI may accelerate automation and impact the design of tax allocation and transfer pricing rules.
  19. Transport. Autonomous vehicles with virtual driver systems, high definition maps and optimised traffic routes all promise cost, safety, quality of life and environmental benefits.”

Written by

AI Policy and Ethics at www.nora.ai. Student at University of Copenhagen MSc in Social Data Science. All views are my own. twitter.com/AlexMoltzau

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