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SIENNA D4.5 Public views on artificial intelligence and robots across 11 EU and non-EU countries

Rebecca Hamlyn

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  <identifier identifierType="DOI">10.5281/zenodo.4068220</identifier>
      <creatorName>Rebecca Hamlyn</creatorName>
      <affiliation>Kantar (Public Division)</affiliation>
    <title>SIENNA D4.5 Public views on artificial intelligence and robots across 11 EU and non-EU countries</title>
    <date dateType="Issued">2020-09-25</date>
  <resourceType resourceTypeGeneral="Text">Project deliverable</resourceType>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4068219</relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;Based on a telephone survey of 1,000 people in each of 11 countries (&lt;em&gt;EU&lt;/em&gt;:&amp;nbsp;France, Germany, Greece,&amp;nbsp;Netherlands, Poland, Spain, Sweden;&amp;nbsp;&lt;em&gt;non-EU&lt;/em&gt;: Brazil, South Africa, South Korea, USA), this report&amp;nbsp;provides a snapshot of opinions in 2019 on intelligent machines and their impact on society. Across&amp;nbsp;most countries, most people had heard of robotic and AI applications, though relatively small&amp;nbsp;proportions felt well-informed. In most countries, people anticipated widescale changes over the&amp;nbsp;next 20 years in development of the capabilities of intelligent machines and their effect on societies.&amp;nbsp;People also recognised that these technologies brought risks. In most countries, people were more&amp;nbsp;negative than positive about the potential for robots to take on more human features, and for more&amp;nbsp;widespread use of intelligent machines to widen inequalities and result in people having less control.&amp;nbsp;Despite this, people were on balance more positive than negative about the overall impact of &amp;nbsp;intelligent machines in society. There were wide variations by country, with South Korea and Brazil&amp;nbsp;most positive, and South Africa most polarised. No single country stood as especially negative,&amp;nbsp;though France, Greece, Spain and Germany were all more negative than average on two or more&amp;nbsp;&lt;br&gt;
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/741716/">741716</awardNumber>
      <awardTitle>Stakeholder-informed ethics for new technologies with high socio-economic and human rights impact</awardTitle>
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