Matches in SemOpenAlex for { <https://semopenalex.org/work/W3119580784> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W3119580784 abstract "Does AI conform to humans, or will we conform to AI? An ethical evaluation of AI-intensive companies will allow investors to knowledgeably participate in the decision. The evaluation is built from nine performance indicators that can be analyzed and scored to reflect a technology’s human-centering. The result is objective investment guidance, as well as investors empowered to act in accordance with their own values. Incorporating ethics into financial decisions is a strategy that will be recognized by participants in environmental, social, and governance investing, however, this paper argues that conventional ESG frameworks are inadequate to companies that function with AI at their core. Fully accounting for contemporary big data, predictive analytics, and machine learning requires specialized metrics customized from established AI ethics principles. With these metrics established, the larger goal is a model for humanist investing in AI-intensive companies that is intellectually robust, manageable for analysts, useful for portfolio managers, and credible for investors." @default.
- W3119580784 created "2021-01-18" @default.
- W3119580784 creator A5091307183 @default.
- W3119580784 date "2020-01-01" @default.
- W3119580784 modified "2023-09-26" @default.
- W3119580784 title "Ai Human Impact: Toward a Model for Ethical Investing in Ai-Intensive Companies" @default.
- W3119580784 cites W1819662813 @default.
- W3119580784 cites W2009153907 @default.
- W3119580784 cites W2214169095 @default.
- W3119580784 cites W2346162912 @default.
- W3119580784 cites W2559431840 @default.
- W3119580784 cites W2578172941 @default.
- W3119580784 cites W2732757946 @default.
- W3119580784 cites W2766159924 @default.
- W3119580784 cites W2789970635 @default.
- W3119580784 cites W2798735212 @default.
- W3119580784 cites W2809878087 @default.
- W3119580784 cites W2888109941 @default.
- W3119580784 cites W2892104346 @default.
- W3119580784 cites W2902054973 @default.
- W3119580784 cites W2904032123 @default.
- W3119580784 cites W2908826212 @default.
- W3119580784 cites W2911398399 @default.
- W3119580784 cites W2921072211 @default.
- W3119580784 cites W2932813050 @default.
- W3119580784 cites W2940570705 @default.
- W3119580784 cites W2945438668 @default.
- W3119580784 cites W2946337376 @default.
- W3119580784 cites W2954266614 @default.
- W3119580784 cites W2958089299 @default.
- W3119580784 cites W2966665347 @default.
- W3119580784 cites W2970450457 @default.
- W3119580784 cites W2981341471 @default.
- W3119580784 cites W2991542819 @default.
- W3119580784 cites W2998964954 @default.
- W3119580784 cites W2999331643 @default.
- W3119580784 cites W3000603264 @default.
- W3119580784 cites W3000638052 @default.
- W3119580784 cites W3004778000 @default.
- W3119580784 cites W3005969231 @default.
- W3119580784 cites W3006169262 @default.
- W3119580784 cites W3010080936 @default.
- W3119580784 cites W3035196444 @default.
- W3119580784 cites W3080298681 @default.
- W3119580784 cites W3104119924 @default.
- W3119580784 cites W3124447526 @default.
- W3119580784 cites W3129136847 @default.
- W3119580784 cites W4206912211 @default.
- W3119580784 cites W4213439731 @default.
- W3119580784 cites W4239290387 @default.
- W3119580784 cites W4245073957 @default.
- W3119580784 cites W4255095230 @default.
- W3119580784 doi "https://doi.org/10.2139/ssrn.3648545" @default.
- W3119580784 hasPublicationYear "2020" @default.
- W3119580784 type Work @default.
- W3119580784 sameAs 3119580784 @default.
- W3119580784 citedByCount "0" @default.
- W3119580784 crossrefType "journal-article" @default.
- W3119580784 hasAuthorship W3119580784A5091307183 @default.
- W3119580784 hasBestOaLocation W31195807842 @default.
- W3119580784 hasConcept C144133560 @default.
- W3119580784 hasConcept C15744967 @default.
- W3119580784 hasConceptScore W3119580784C144133560 @default.
- W3119580784 hasConceptScore W3119580784C15744967 @default.
- W3119580784 hasLocation W31195807841 @default.
- W3119580784 hasLocation W31195807842 @default.
- W3119580784 hasOpenAccess W3119580784 @default.
- W3119580784 hasPrimaryLocation W31195807841 @default.
- W3119580784 hasRelatedWork W2039952445 @default.
- W3119580784 hasRelatedWork W2067108088 @default.
- W3119580784 hasRelatedWork W2138503431 @default.
- W3119580784 hasRelatedWork W2528173759 @default.
- W3119580784 hasRelatedWork W2593830474 @default.
- W3119580784 hasRelatedWork W2748952813 @default.
- W3119580784 hasRelatedWork W2765597752 @default.
- W3119580784 hasRelatedWork W2789488587 @default.
- W3119580784 hasRelatedWork W2899084033 @default.
- W3119580784 hasRelatedWork W3049356719 @default.
- W3119580784 isParatext "false" @default.
- W3119580784 isRetracted "false" @default.
- W3119580784 magId "3119580784" @default.
- W3119580784 workType "article" @default.