OECD Observer Q3-Q4 2019

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AI society: How people can make artificial intelligence work for all

“An instrument of the devil”. This is how the invention of the telephone was greeted in Sweden in the mid-19th century, according to Ericsson, a telecommunications firm. From phones to televisions and cars, such horror is quite a common public reaction to the advent of new technologies, even if it often doesn’t take too long before the same people wonder how they ever did without them. Optimists can also get it wrong too, though. Some early supporters of the phone in Sweden emphasised less the benefits of communication than their belief that the pulse from phone signals would bring relief to their rheumatism. Artificial intelligence inevitably finds itself subject to similar discussion. It is not wrong to be critical of early technology, but it is also important to remain open to new opportunities. This is the challenge for policymakers: how to take the fullest advantage of AI to deliver the widest possible benefits, while reducing the risks? Artificial intelligence, or AI as it is popularly known, has evolved greatly since it was

first conceptualised in the Dartmouth Summer Research Project at Dartmouth College in the US state of New Hampshire in 1956. Indeed, since then AI has acquired the potential to reshape economies, by stimulating productivity, improving

AI is still in its infancy, and we do not know how powerful AI can become efficiency and lowering costs. Its applications are to be seen in a range of sectors, from transport and farming to finance, and healthcare, as well as in criminal justice and security. It can even help improve governance in both the public and private sectors, for instance, by helping people make better predictions and more informed decisions. Yet, AI is still in its infancy, and although surveys suggest most business people see AI as an advantage, we do not know how powerful AI can become. In this light, it is inevitable that AI should fuel anxieties and ethical concerns, too. There are questions to answer about the trustworthiness of AI, when it comes to privacy for instance, and about the

risks of reinforcing any existing biases on race or gender in the algorithms that underpin AI, or even infringing people’s rights. Concerns are also growing about AI systems exacerbating inequality, market concentration and the digital divide. No single country or actor has all the answers to these challenges. As AI’s impacts permeate our societies, what we do know is that its undoubted transformational power must be put at the service of people and the planet. We therefore need international cooperation and responses from all interests in society to guide the development and use of AI for the wider good. The OECD has been leading a wideranging reflection on the issues, and formed an international expert group it in 2018 to help with scoping principles for artificial intelligence in society. The new group won wide applause, including by world chess champion Garry Kasparov, who as he put it in a video address, was perhaps the first knowledge worker in history to have his job threatened by a machine when

OECD Observer No 319-320 Q3-Q4 2019

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Articles inside

New publications

3min
page 36

Your country has talent; Not all jobs are

3min
page 39

Focus on education

3min
page 37

Reviews: Treat the opioid epidemic as a public

3min
page 35

Andreas Schleicher Teachers’ pay: Mind the mid-career gap Anne-Lise Prigent

4min
pages 23-24

Profound change needed on climate

1min
page 32

Ambassadors Calendar; Frankie

2min
page 34

Linking Indigenous communities with regional

4min
pages 27-28

Microbial resistance: The battle continues Anne-Lise Prigent

4min
page 31

development Dawn Madahbee Leach, General Manager, Waubetek Business Development Corporation, and Vice-Chair of the National Indigenous Economic Development Board of Canada, Lars-Anders Baer, Chairperson of the Working Group for Indigenous Peoples to the Barents Euro-Arctic Co-operation, and Peter Yu, Chief Executive Officer of Nyamba Buru Yawuru Ltd and Chair of the Indigenous Reference Group to the Northern Ministerial Council. A guide f or tackling fraud and corruption in EU investment funds Lisa Kilduff

4min
pages 29-30

Building a collaborative culture for teachers

4min
page 22

Beyond humanitarian aid: Connecting the dots

4min
pages 25-26

Setting course for a human-centred AI Angel Gurría, Secretary-General of the OECD

4min
page 5

overcome an Achilles heel Benoît Bergeret, Founder, CEO, indust.ai; Founding Board Member, Hub France IA Blockchain is a major technology of the 21st century Bruno Le Maire, French Minister of the Economy and Finance

3min
page 21

AI society: How people can make artificial

7min
pages 17-18

small and medium-sized enterprises Lamia Kamal-Chaoui Why statistical offices should hire a comedian Vincent F . Hendricks, Professor, Director of the Center for Information and Bubble Studies, University of Copenhagen, Denmark and Johannes Jütting, Manager of the Partnership in Statistics for Development in the 21st Century (PARIS21), Paris, France

7min
pages 14-16

BlogServer

6min
pages 8-10

AI and Europe’s medium-sized firms: How to

6min
pages 19-20

Bees and the environment, Activism as lobbying, No fear of automation; Twitterings

3min
page 4

Skills mismatch warning; Fossil fuel support threatens climate action; New development standard to fight abuse; Working past 65; Soundbites; Economy; Country roundup; Other stories; Plus ça change

7min
pages 6-7
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