AI Guidelines and Ethical Readiness Inside SMEs: A Review and Recommendations
Abstract Small and medium enterprises (SMEs) represent a large segment of the global economy. As such, SMEs face many of the same ethical and regulatory considerations around Artificial Intelligence (AI) as other businesses. However, due to their limited resources and personnel, SMEs are often at a...
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Gespeichert in:
| Autor*in: |
Soudi, Marwa Samih [verfasserIn] Bauters, Merja [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2024 |
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| Übergeordnetes Werk: |
Enthalten in: Digital society - Springer International Publishing, 2022, 3(2024), 1 vom: 31. Jan. |
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| Übergeordnetes Werk: |
volume:3 ; year:2024 ; number:1 ; day:31 ; month:01 |
| Links: |
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| DOI / URN: |
10.1007/s44206-024-00087-1 |
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| Katalog-ID: |
SPR055842534 |
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| 520 | |a Abstract Small and medium enterprises (SMEs) represent a large segment of the global economy. As such, SMEs face many of the same ethical and regulatory considerations around Artificial Intelligence (AI) as other businesses. However, due to their limited resources and personnel, SMEs are often at a disadvantage when it comes to understanding and addressing these issues. This literature review discusses the status of ethical AI guidelines released by different organisations. We analyse the academic papers that address the private sector in addition to the guidelines released directly by the private sector to help us better understand the responsible AI guidelines within the private sector. We aim by this review to provide a comprehensive analysis of the current state of ethical AI guidelines development and adoption, as well as identify gaps in knowledge and best attempts. By synthesizing existing research and insights, such a review could provide a road map for small and medium enterprises (SMEs) to adopt ethical AI guidelines and develop the necessary readiness for responsible AI implementation. Additionally, a review could inform policy and regulatory frameworks that promote ethical AI development and adoption, thereby creating a supportive ecosystem for SMEs to thrive in the AI landscape. Our findings reveal a need for supporting SMEs to embrace responsible and ethical AI adoption by (1) Building more tailored guidelines that suit different sectors instead of fit to all guidelines. (2) Building a trusted accreditation system for organisations. (4) Giving up-to-date training to employees and managers about AI ethics. (5) Increasing the awareness about explainable AI systems, and (6) Promoting risk-based assessments rather than principle-based assessments. | ||
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10.1007/s44206-024-00087-1 doi (DE-627)SPR055842534 (SPR)s44206-024-00087-1-e DE-627 ger DE-627 rakwb eng Soudi, Marwa Samih verfasserin (orcid)0000-0003-4915-0109 aut AI Guidelines and Ethical Readiness Inside SMEs: A Review and Recommendations 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract Small and medium enterprises (SMEs) represent a large segment of the global economy. As such, SMEs face many of the same ethical and regulatory considerations around Artificial Intelligence (AI) as other businesses. However, due to their limited resources and personnel, SMEs are often at a disadvantage when it comes to understanding and addressing these issues. This literature review discusses the status of ethical AI guidelines released by different organisations. We analyse the academic papers that address the private sector in addition to the guidelines released directly by the private sector to help us better understand the responsible AI guidelines within the private sector. We aim by this review to provide a comprehensive analysis of the current state of ethical AI guidelines development and adoption, as well as identify gaps in knowledge and best attempts. By synthesizing existing research and insights, such a review could provide a road map for small and medium enterprises (SMEs) to adopt ethical AI guidelines and develop the necessary readiness for responsible AI implementation. Additionally, a review could inform policy and regulatory frameworks that promote ethical AI development and adoption, thereby creating a supportive ecosystem for SMEs to thrive in the AI landscape. Our findings reveal a need for supporting SMEs to embrace responsible and ethical AI adoption by (1) Building more tailored guidelines that suit different sectors instead of fit to all guidelines. (2) Building a trusted accreditation system for organisations. (4) Giving up-to-date training to employees and managers about AI ethics. (5) Increasing the awareness about explainable AI systems, and (6) Promoting risk-based assessments rather than principle-based assessments. Responsible AI (dpeaa)DE-He213 AI ethics (dpeaa)DE-He213 AI guidelines (dpeaa)DE-He213 Trustworthy AI (dpeaa)DE-He213 Bauters, Merja verfasserin aut Enthalten in Digital society Springer International Publishing, 2022 3(2024), 1 vom: 31. Jan. (DE-627)1770074937 (DE-600)3092980-5 2731-4669 nnns volume:3 year:2024 number:1 day:31 month:01 https://dx.doi.org/10.1007/s44206-024-00087-1 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2024 1 31 01 |
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10.1007/s44206-024-00087-1 doi (DE-627)SPR055842534 (SPR)s44206-024-00087-1-e DE-627 ger DE-627 rakwb eng Soudi, Marwa Samih verfasserin (orcid)0000-0003-4915-0109 aut AI Guidelines and Ethical Readiness Inside SMEs: A Review and Recommendations 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract Small and medium enterprises (SMEs) represent a large segment of the global economy. As such, SMEs face many of the same ethical and regulatory considerations around Artificial Intelligence (AI) as other businesses. However, due to their limited resources and personnel, SMEs are often at a disadvantage when it comes to understanding and addressing these issues. This literature review discusses the status of ethical AI guidelines released by different organisations. We analyse the academic papers that address the private sector in addition to the guidelines released directly by the private sector to help us better understand the responsible AI guidelines within the private sector. We aim by this review to provide a comprehensive analysis of the current state of ethical AI guidelines development and adoption, as well as identify gaps in knowledge and best attempts. By synthesizing existing research and insights, such a review could provide a road map for small and medium enterprises (SMEs) to adopt ethical AI guidelines and develop the necessary readiness for responsible AI implementation. Additionally, a review could inform policy and regulatory frameworks that promote ethical AI development and adoption, thereby creating a supportive ecosystem for SMEs to thrive in the AI landscape. Our findings reveal a need for supporting SMEs to embrace responsible and ethical AI adoption by (1) Building more tailored guidelines that suit different sectors instead of fit to all guidelines. (2) Building a trusted accreditation system for organisations. (4) Giving up-to-date training to employees and managers about AI ethics. (5) Increasing the awareness about explainable AI systems, and (6) Promoting risk-based assessments rather than principle-based assessments. Responsible AI (dpeaa)DE-He213 AI ethics (dpeaa)DE-He213 AI guidelines (dpeaa)DE-He213 Trustworthy AI (dpeaa)DE-He213 Bauters, Merja verfasserin aut Enthalten in Digital society Springer International Publishing, 2022 3(2024), 1 vom: 31. Jan. (DE-627)1770074937 (DE-600)3092980-5 2731-4669 nnns volume:3 year:2024 number:1 day:31 month:01 https://dx.doi.org/10.1007/s44206-024-00087-1 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2024 1 31 01 |
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10.1007/s44206-024-00087-1 doi (DE-627)SPR055842534 (SPR)s44206-024-00087-1-e DE-627 ger DE-627 rakwb eng Soudi, Marwa Samih verfasserin (orcid)0000-0003-4915-0109 aut AI Guidelines and Ethical Readiness Inside SMEs: A Review and Recommendations 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract Small and medium enterprises (SMEs) represent a large segment of the global economy. As such, SMEs face many of the same ethical and regulatory considerations around Artificial Intelligence (AI) as other businesses. However, due to their limited resources and personnel, SMEs are often at a disadvantage when it comes to understanding and addressing these issues. This literature review discusses the status of ethical AI guidelines released by different organisations. We analyse the academic papers that address the private sector in addition to the guidelines released directly by the private sector to help us better understand the responsible AI guidelines within the private sector. We aim by this review to provide a comprehensive analysis of the current state of ethical AI guidelines development and adoption, as well as identify gaps in knowledge and best attempts. By synthesizing existing research and insights, such a review could provide a road map for small and medium enterprises (SMEs) to adopt ethical AI guidelines and develop the necessary readiness for responsible AI implementation. Additionally, a review could inform policy and regulatory frameworks that promote ethical AI development and adoption, thereby creating a supportive ecosystem for SMEs to thrive in the AI landscape. Our findings reveal a need for supporting SMEs to embrace responsible and ethical AI adoption by (1) Building more tailored guidelines that suit different sectors instead of fit to all guidelines. (2) Building a trusted accreditation system for organisations. (4) Giving up-to-date training to employees and managers about AI ethics. (5) Increasing the awareness about explainable AI systems, and (6) Promoting risk-based assessments rather than principle-based assessments. Responsible AI (dpeaa)DE-He213 AI ethics (dpeaa)DE-He213 AI guidelines (dpeaa)DE-He213 Trustworthy AI (dpeaa)DE-He213 Bauters, Merja verfasserin aut Enthalten in Digital society Springer International Publishing, 2022 3(2024), 1 vom: 31. Jan. (DE-627)1770074937 (DE-600)3092980-5 2731-4669 nnns volume:3 year:2024 number:1 day:31 month:01 https://dx.doi.org/10.1007/s44206-024-00087-1 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2024 1 31 01 |
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10.1007/s44206-024-00087-1 doi (DE-627)SPR055842534 (SPR)s44206-024-00087-1-e DE-627 ger DE-627 rakwb eng Soudi, Marwa Samih verfasserin (orcid)0000-0003-4915-0109 aut AI Guidelines and Ethical Readiness Inside SMEs: A Review and Recommendations 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract Small and medium enterprises (SMEs) represent a large segment of the global economy. As such, SMEs face many of the same ethical and regulatory considerations around Artificial Intelligence (AI) as other businesses. However, due to their limited resources and personnel, SMEs are often at a disadvantage when it comes to understanding and addressing these issues. This literature review discusses the status of ethical AI guidelines released by different organisations. We analyse the academic papers that address the private sector in addition to the guidelines released directly by the private sector to help us better understand the responsible AI guidelines within the private sector. We aim by this review to provide a comprehensive analysis of the current state of ethical AI guidelines development and adoption, as well as identify gaps in knowledge and best attempts. By synthesizing existing research and insights, such a review could provide a road map for small and medium enterprises (SMEs) to adopt ethical AI guidelines and develop the necessary readiness for responsible AI implementation. Additionally, a review could inform policy and regulatory frameworks that promote ethical AI development and adoption, thereby creating a supportive ecosystem for SMEs to thrive in the AI landscape. Our findings reveal a need for supporting SMEs to embrace responsible and ethical AI adoption by (1) Building more tailored guidelines that suit different sectors instead of fit to all guidelines. (2) Building a trusted accreditation system for organisations. (4) Giving up-to-date training to employees and managers about AI ethics. (5) Increasing the awareness about explainable AI systems, and (6) Promoting risk-based assessments rather than principle-based assessments. Responsible AI (dpeaa)DE-He213 AI ethics (dpeaa)DE-He213 AI guidelines (dpeaa)DE-He213 Trustworthy AI (dpeaa)DE-He213 Bauters, Merja verfasserin aut Enthalten in Digital society Springer International Publishing, 2022 3(2024), 1 vom: 31. Jan. (DE-627)1770074937 (DE-600)3092980-5 2731-4669 nnns volume:3 year:2024 number:1 day:31 month:01 https://dx.doi.org/10.1007/s44206-024-00087-1 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2024 1 31 01 |
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10.1007/s44206-024-00087-1 doi (DE-627)SPR055842534 (SPR)s44206-024-00087-1-e DE-627 ger DE-627 rakwb eng Soudi, Marwa Samih verfasserin (orcid)0000-0003-4915-0109 aut AI Guidelines and Ethical Readiness Inside SMEs: A Review and Recommendations 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract Small and medium enterprises (SMEs) represent a large segment of the global economy. As such, SMEs face many of the same ethical and regulatory considerations around Artificial Intelligence (AI) as other businesses. However, due to their limited resources and personnel, SMEs are often at a disadvantage when it comes to understanding and addressing these issues. This literature review discusses the status of ethical AI guidelines released by different organisations. We analyse the academic papers that address the private sector in addition to the guidelines released directly by the private sector to help us better understand the responsible AI guidelines within the private sector. We aim by this review to provide a comprehensive analysis of the current state of ethical AI guidelines development and adoption, as well as identify gaps in knowledge and best attempts. By synthesizing existing research and insights, such a review could provide a road map for small and medium enterprises (SMEs) to adopt ethical AI guidelines and develop the necessary readiness for responsible AI implementation. Additionally, a review could inform policy and regulatory frameworks that promote ethical AI development and adoption, thereby creating a supportive ecosystem for SMEs to thrive in the AI landscape. Our findings reveal a need for supporting SMEs to embrace responsible and ethical AI adoption by (1) Building more tailored guidelines that suit different sectors instead of fit to all guidelines. (2) Building a trusted accreditation system for organisations. (4) Giving up-to-date training to employees and managers about AI ethics. (5) Increasing the awareness about explainable AI systems, and (6) Promoting risk-based assessments rather than principle-based assessments. Responsible AI (dpeaa)DE-He213 AI ethics (dpeaa)DE-He213 AI guidelines (dpeaa)DE-He213 Trustworthy AI (dpeaa)DE-He213 Bauters, Merja verfasserin aut Enthalten in Digital society Springer International Publishing, 2022 3(2024), 1 vom: 31. Jan. (DE-627)1770074937 (DE-600)3092980-5 2731-4669 nnns volume:3 year:2024 number:1 day:31 month:01 https://dx.doi.org/10.1007/s44206-024-00087-1 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2024 1 31 01 |
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ai guidelines and ethical readiness inside smes: a review and recommendations |
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AI Guidelines and Ethical Readiness Inside SMEs: A Review and Recommendations |
| abstract |
Abstract Small and medium enterprises (SMEs) represent a large segment of the global economy. As such, SMEs face many of the same ethical and regulatory considerations around Artificial Intelligence (AI) as other businesses. However, due to their limited resources and personnel, SMEs are often at a disadvantage when it comes to understanding and addressing these issues. This literature review discusses the status of ethical AI guidelines released by different organisations. We analyse the academic papers that address the private sector in addition to the guidelines released directly by the private sector to help us better understand the responsible AI guidelines within the private sector. We aim by this review to provide a comprehensive analysis of the current state of ethical AI guidelines development and adoption, as well as identify gaps in knowledge and best attempts. By synthesizing existing research and insights, such a review could provide a road map for small and medium enterprises (SMEs) to adopt ethical AI guidelines and develop the necessary readiness for responsible AI implementation. Additionally, a review could inform policy and regulatory frameworks that promote ethical AI development and adoption, thereby creating a supportive ecosystem for SMEs to thrive in the AI landscape. Our findings reveal a need for supporting SMEs to embrace responsible and ethical AI adoption by (1) Building more tailored guidelines that suit different sectors instead of fit to all guidelines. (2) Building a trusted accreditation system for organisations. (4) Giving up-to-date training to employees and managers about AI ethics. (5) Increasing the awareness about explainable AI systems, and (6) Promoting risk-based assessments rather than principle-based assessments. © The Author(s) 2024 |
| abstractGer |
Abstract Small and medium enterprises (SMEs) represent a large segment of the global economy. As such, SMEs face many of the same ethical and regulatory considerations around Artificial Intelligence (AI) as other businesses. However, due to their limited resources and personnel, SMEs are often at a disadvantage when it comes to understanding and addressing these issues. This literature review discusses the status of ethical AI guidelines released by different organisations. We analyse the academic papers that address the private sector in addition to the guidelines released directly by the private sector to help us better understand the responsible AI guidelines within the private sector. We aim by this review to provide a comprehensive analysis of the current state of ethical AI guidelines development and adoption, as well as identify gaps in knowledge and best attempts. By synthesizing existing research and insights, such a review could provide a road map for small and medium enterprises (SMEs) to adopt ethical AI guidelines and develop the necessary readiness for responsible AI implementation. Additionally, a review could inform policy and regulatory frameworks that promote ethical AI development and adoption, thereby creating a supportive ecosystem for SMEs to thrive in the AI landscape. Our findings reveal a need for supporting SMEs to embrace responsible and ethical AI adoption by (1) Building more tailored guidelines that suit different sectors instead of fit to all guidelines. (2) Building a trusted accreditation system for organisations. (4) Giving up-to-date training to employees and managers about AI ethics. (5) Increasing the awareness about explainable AI systems, and (6) Promoting risk-based assessments rather than principle-based assessments. © The Author(s) 2024 |
| abstract_unstemmed |
Abstract Small and medium enterprises (SMEs) represent a large segment of the global economy. As such, SMEs face many of the same ethical and regulatory considerations around Artificial Intelligence (AI) as other businesses. However, due to their limited resources and personnel, SMEs are often at a disadvantage when it comes to understanding and addressing these issues. This literature review discusses the status of ethical AI guidelines released by different organisations. We analyse the academic papers that address the private sector in addition to the guidelines released directly by the private sector to help us better understand the responsible AI guidelines within the private sector. We aim by this review to provide a comprehensive analysis of the current state of ethical AI guidelines development and adoption, as well as identify gaps in knowledge and best attempts. By synthesizing existing research and insights, such a review could provide a road map for small and medium enterprises (SMEs) to adopt ethical AI guidelines and develop the necessary readiness for responsible AI implementation. Additionally, a review could inform policy and regulatory frameworks that promote ethical AI development and adoption, thereby creating a supportive ecosystem for SMEs to thrive in the AI landscape. Our findings reveal a need for supporting SMEs to embrace responsible and ethical AI adoption by (1) Building more tailored guidelines that suit different sectors instead of fit to all guidelines. (2) Building a trusted accreditation system for organisations. (4) Giving up-to-date training to employees and managers about AI ethics. (5) Increasing the awareness about explainable AI systems, and (6) Promoting risk-based assessments rather than principle-based assessments. © The Author(s) 2024 |
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AI Guidelines and Ethical Readiness Inside SMEs: A Review and Recommendations |
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