Eintrag weiter verarbeiten
Artificial intelligence and policy: quo vadis?
Gespeichert in:
| Zeitschriftentitel: | Digital Policy, Regulation and Governance |
|---|---|
| Personen und Körperschaften: | |
| In: | Digital Policy, Regulation and Governance, 21, 2019, 3, S. 238-263 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Emerald
|
| Schlagwörter: |
| author_facet |
Lauterbach, Anastassia Lauterbach, Anastassia |
|---|---|
| author |
Lauterbach, Anastassia |
| spellingShingle |
Lauterbach, Anastassia Digital Policy, Regulation and Governance Artificial intelligence and policy: quo vadis? Management of Technology and Innovation Information Systems and Management Computer Networks and Communications Information Systems Management Information Systems |
| author_sort |
lauterbach, anastassia |
| spelling |
Lauterbach, Anastassia 2398-5038 2398-5038 Emerald Management of Technology and Innovation Information Systems and Management Computer Networks and Communications Information Systems Management Information Systems http://dx.doi.org/10.1108/dprg-09-2018-0054 <jats:sec> <jats:title content-type="abstract-subheading">Purpose</jats:title> <jats:p>This paper aims to inform policymakers about key artificial intelligence (AI) technologies, risks and trends in national AI strategies. It suggests a framework of social governance to ensure emergence of safe and beneficial AI.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title> <jats:p>The paper is based on approximately 100 interviews with researchers, executives of traditional companies and startups and policymakers in seven countries. The interviews were carried out in January-August 2017.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Findings</jats:title> <jats:p>Policymakers still need to develop an informed, scientifically grounded and forward-looking view on what societies and businesses might expect from AI. There is lack of transparency on what key AI risks are and what might be regulatory approaches to handle them. There is no collaborative framework in place involving all important actors to decide on AI technology design principles and governance. Today's technology decisions will have long-term consequences on lives of billions of people and competitiveness of millions of businesses.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Research limitations/implications</jats:title> <jats:p>The research did not include a lot of insights from the emerging markets.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Practical implications</jats:title> <jats:p>Policymakers will understand the scope of most important AI concepts, risks and national strategies.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Social implications</jats:title> <jats:p>AI is progressing at a very fast rate, changing industries, businesses and approaches how companies learn, generate business insights, design products and communicate with their employees and customers. It has a big societal impact, as – if not designed with care – it can scale human bias, increase cybersecurity risk and lead to negative shifts in employment. Like no other invention, it can tighten control by the few over the many, spread false information and propaganda and therewith shape the perception of people, communities and enterprises.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Originality/value</jats:title> <jats:p>This paper is a compendium on the most important concepts of AI, bringing clarity into discussions around AI risks and the ways to mitigate them. The breadth of topics is valuable to policymakers, students, practitioners, general executives and board directors alike.</jats:p> </jats:sec> Artificial intelligence and policy: quo vadis? Digital Policy, Regulation and Governance |
| doi_str_mv |
10.1108/dprg-09-2018-0054 |
| facet_avail |
Online |
| finc_class_facet |
Wirtschaftswissenschaften Informatik |
| format |
ElectronicArticle |
| fullrecord |
blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTEwOC9kcHJnLTA5LTIwMTgtMDA1NA |
| id |
ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTEwOC9kcHJnLTA5LTIwMTgtMDA1NA |
| institution |
DE-Zi4 DE-14 DE-Ch1 |
| imprint |
Emerald, 2019 |
| imprint_str_mv |
Emerald, 2019 |
| issn |
2398-5038 |
| issn_str_mv |
2398-5038 |
| language |
English |
| mega_collection |
Emerald (CrossRef) |
| match_str |
lauterbach2019artificialintelligenceandpolicyquovadis |
| publishDateSort |
2019 |
| publisher |
Emerald |
| recordtype |
ai |
| record_format |
ai |
| series |
Digital Policy, Regulation and Governance |
| source_id |
49 |
| title |
Artificial intelligence and policy: quo vadis? |
| title_unstemmed |
Artificial intelligence and policy: quo vadis? |
| title_full |
Artificial intelligence and policy: quo vadis? |
| title_fullStr |
Artificial intelligence and policy: quo vadis? |
| title_full_unstemmed |
Artificial intelligence and policy: quo vadis? |
| title_short |
Artificial intelligence and policy: quo vadis? |
| title_sort |
artificial intelligence and policy: quo vadis? |
| topic |
Management of Technology and Innovation Information Systems and Management Computer Networks and Communications Information Systems Management Information Systems |
| url |
http://dx.doi.org/10.1108/dprg-09-2018-0054 |
| publishDate |
2019 |
| physical |
238-263 |
| description |
<jats:sec>
<jats:title content-type="abstract-subheading">Purpose</jats:title>
<jats:p>This paper aims to inform policymakers about key artificial intelligence (AI) technologies, risks and trends in national AI strategies. It suggests a framework of social governance to ensure emergence of safe and beneficial AI.</jats:p>
</jats:sec>
<jats:sec>
<jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title>
<jats:p>The paper is based on approximately 100 interviews with researchers, executives of traditional companies and startups and policymakers in seven countries. The interviews were carried out in January-August 2017.</jats:p>
</jats:sec>
<jats:sec>
<jats:title content-type="abstract-subheading">Findings</jats:title>
<jats:p>Policymakers still need to develop an informed, scientifically grounded and forward-looking view on what societies and businesses might expect from AI. There is lack of transparency on what key AI risks are and what might be regulatory approaches to handle them. There is no collaborative framework in place involving all important actors to decide on AI technology design principles and governance. Today's technology decisions will have long-term consequences on lives of billions of people and competitiveness of millions of businesses.</jats:p>
</jats:sec>
<jats:sec>
<jats:title content-type="abstract-subheading">Research limitations/implications</jats:title>
<jats:p>The research did not include a lot of insights from the emerging markets.</jats:p>
</jats:sec>
<jats:sec>
<jats:title content-type="abstract-subheading">Practical implications</jats:title>
<jats:p>Policymakers will understand the scope of most important AI concepts, risks and national strategies.</jats:p>
</jats:sec>
<jats:sec>
<jats:title content-type="abstract-subheading">Social implications</jats:title>
<jats:p>AI is progressing at a very fast rate, changing industries, businesses and approaches how companies learn, generate business insights, design products and communicate with their employees and customers. It has a big societal impact, as – if not designed with care – it can scale human bias, increase cybersecurity risk and lead to negative shifts in employment. Like no other invention, it can tighten control by the few over the many, spread false information and propaganda and therewith shape the perception of people, communities and enterprises.</jats:p>
</jats:sec>
<jats:sec>
<jats:title content-type="abstract-subheading">Originality/value</jats:title>
<jats:p>This paper is a compendium on the most important concepts of AI, bringing clarity into discussions around AI risks and the ways to mitigate them. The breadth of topics is valuable to policymakers, students, practitioners, general executives and board directors alike.</jats:p>
</jats:sec> |
| container_issue |
3 |
| container_start_page |
238 |
| container_title |
Digital Policy, Regulation and Governance |
| container_volume |
21 |
| format_de105 |
Article, E-Article |
| format_de14 |
Article, E-Article |
| format_de15 |
Article, E-Article |
| format_de520 |
Article, E-Article |
| format_de540 |
Article, E-Article |
| format_dech1 |
Article, E-Article |
| format_ded117 |
Article, E-Article |
| format_degla1 |
E-Article |
| format_del152 |
Buch |
| format_del189 |
Article, E-Article |
| format_dezi4 |
Article |
| format_dezwi2 |
Article, E-Article |
| format_finc |
Article, E-Article |
| format_nrw |
Article, E-Article |
| _version_ |
1792348184840765446 |
| geogr_code |
not assigned |
| last_indexed |
2024-03-01T18:06:44.014Z |
| geogr_code_person |
not assigned |
| openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Artificial+intelligence+and+policy%3A+quo+vadis%3F&rft.date=2019-05-13&genre=article&issn=2398-5038&volume=21&issue=3&spage=238&epage=263&pages=238-263&jtitle=Digital+Policy%2C+Regulation+and+Governance&atitle=Artificial+intelligence+and+policy%3A+quo+vadis%3F&aulast=Lauterbach&aufirst=Anastassia&rft_id=info%3Adoi%2F10.1108%2Fdprg-09-2018-0054&rft.language%5B0%5D=eng |
| SOLR | |
| _version_ | 1792348184840765446 |
| author | Lauterbach, Anastassia |
| author_facet | Lauterbach, Anastassia, Lauterbach, Anastassia |
| author_sort | lauterbach, anastassia |
| container_issue | 3 |
| container_start_page | 238 |
| container_title | Digital Policy, Regulation and Governance |
| container_volume | 21 |
| description | <jats:sec> <jats:title content-type="abstract-subheading">Purpose</jats:title> <jats:p>This paper aims to inform policymakers about key artificial intelligence (AI) technologies, risks and trends in national AI strategies. It suggests a framework of social governance to ensure emergence of safe and beneficial AI.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title> <jats:p>The paper is based on approximately 100 interviews with researchers, executives of traditional companies and startups and policymakers in seven countries. The interviews were carried out in January-August 2017.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Findings</jats:title> <jats:p>Policymakers still need to develop an informed, scientifically grounded and forward-looking view on what societies and businesses might expect from AI. There is lack of transparency on what key AI risks are and what might be regulatory approaches to handle them. There is no collaborative framework in place involving all important actors to decide on AI technology design principles and governance. Today's technology decisions will have long-term consequences on lives of billions of people and competitiveness of millions of businesses.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Research limitations/implications</jats:title> <jats:p>The research did not include a lot of insights from the emerging markets.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Practical implications</jats:title> <jats:p>Policymakers will understand the scope of most important AI concepts, risks and national strategies.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Social implications</jats:title> <jats:p>AI is progressing at a very fast rate, changing industries, businesses and approaches how companies learn, generate business insights, design products and communicate with their employees and customers. It has a big societal impact, as – if not designed with care – it can scale human bias, increase cybersecurity risk and lead to negative shifts in employment. Like no other invention, it can tighten control by the few over the many, spread false information and propaganda and therewith shape the perception of people, communities and enterprises.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Originality/value</jats:title> <jats:p>This paper is a compendium on the most important concepts of AI, bringing clarity into discussions around AI risks and the ways to mitigate them. The breadth of topics is valuable to policymakers, students, practitioners, general executives and board directors alike.</jats:p> </jats:sec> |
| doi_str_mv | 10.1108/dprg-09-2018-0054 |
| facet_avail | Online |
| finc_class_facet | Wirtschaftswissenschaften, Informatik |
| format | ElectronicArticle |
| format_de105 | Article, E-Article |
| format_de14 | Article, E-Article |
| format_de15 | Article, E-Article |
| format_de520 | Article, E-Article |
| format_de540 | Article, E-Article |
| format_dech1 | Article, E-Article |
| format_ded117 | Article, E-Article |
| format_degla1 | E-Article |
| format_del152 | Buch |
| format_del189 | Article, E-Article |
| format_dezi4 | Article |
| format_dezwi2 | Article, E-Article |
| format_finc | Article, E-Article |
| format_nrw | Article, E-Article |
| geogr_code | not assigned |
| geogr_code_person | not assigned |
| id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTEwOC9kcHJnLTA5LTIwMTgtMDA1NA |
| imprint | Emerald, 2019 |
| imprint_str_mv | Emerald, 2019 |
| institution | DE-Zi4, DE-14, DE-Ch1 |
| issn | 2398-5038 |
| issn_str_mv | 2398-5038 |
| language | English |
| last_indexed | 2024-03-01T18:06:44.014Z |
| match_str | lauterbach2019artificialintelligenceandpolicyquovadis |
| mega_collection | Emerald (CrossRef) |
| physical | 238-263 |
| publishDate | 2019 |
| publishDateSort | 2019 |
| publisher | Emerald |
| record_format | ai |
| recordtype | ai |
| series | Digital Policy, Regulation and Governance |
| source_id | 49 |
| spelling | Lauterbach, Anastassia 2398-5038 2398-5038 Emerald Management of Technology and Innovation Information Systems and Management Computer Networks and Communications Information Systems Management Information Systems http://dx.doi.org/10.1108/dprg-09-2018-0054 <jats:sec> <jats:title content-type="abstract-subheading">Purpose</jats:title> <jats:p>This paper aims to inform policymakers about key artificial intelligence (AI) technologies, risks and trends in national AI strategies. It suggests a framework of social governance to ensure emergence of safe and beneficial AI.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title> <jats:p>The paper is based on approximately 100 interviews with researchers, executives of traditional companies and startups and policymakers in seven countries. The interviews were carried out in January-August 2017.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Findings</jats:title> <jats:p>Policymakers still need to develop an informed, scientifically grounded and forward-looking view on what societies and businesses might expect from AI. There is lack of transparency on what key AI risks are and what might be regulatory approaches to handle them. There is no collaborative framework in place involving all important actors to decide on AI technology design principles and governance. Today's technology decisions will have long-term consequences on lives of billions of people and competitiveness of millions of businesses.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Research limitations/implications</jats:title> <jats:p>The research did not include a lot of insights from the emerging markets.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Practical implications</jats:title> <jats:p>Policymakers will understand the scope of most important AI concepts, risks and national strategies.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Social implications</jats:title> <jats:p>AI is progressing at a very fast rate, changing industries, businesses and approaches how companies learn, generate business insights, design products and communicate with their employees and customers. It has a big societal impact, as – if not designed with care – it can scale human bias, increase cybersecurity risk and lead to negative shifts in employment. Like no other invention, it can tighten control by the few over the many, spread false information and propaganda and therewith shape the perception of people, communities and enterprises.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Originality/value</jats:title> <jats:p>This paper is a compendium on the most important concepts of AI, bringing clarity into discussions around AI risks and the ways to mitigate them. The breadth of topics is valuable to policymakers, students, practitioners, general executives and board directors alike.</jats:p> </jats:sec> Artificial intelligence and policy: quo vadis? Digital Policy, Regulation and Governance |
| spellingShingle | Lauterbach, Anastassia, Digital Policy, Regulation and Governance, Artificial intelligence and policy: quo vadis?, Management of Technology and Innovation, Information Systems and Management, Computer Networks and Communications, Information Systems, Management Information Systems |
| title | Artificial intelligence and policy: quo vadis? |
| title_full | Artificial intelligence and policy: quo vadis? |
| title_fullStr | Artificial intelligence and policy: quo vadis? |
| title_full_unstemmed | Artificial intelligence and policy: quo vadis? |
| title_short | Artificial intelligence and policy: quo vadis? |
| title_sort | artificial intelligence and policy: quo vadis? |
| title_unstemmed | Artificial intelligence and policy: quo vadis? |
| topic | Management of Technology and Innovation, Information Systems and Management, Computer Networks and Communications, Information Systems, Management Information Systems |
| url | http://dx.doi.org/10.1108/dprg-09-2018-0054 |