Publication | Open Access
AI human impact: toward a model for ethical investing in AI-intensive companies
31
Citations
34
References
2021
Year
Artificial IntelligenceMachine LearningBusiness IntelligenceAi SafetyAi AdoptionResponsible AiManagementEthic Of Artificial IntelligenceSpecialized MetricsBusiness EthicsEthical InvestingEthics In Knowledge RepresentationAi Human ImpactEthical InvestmentResponsible TechnologyAccountingCorporate Social ResponsibilityDoes AiFinanceFinancial AnalyticsAi-intensive CompaniesBusinessArtificial Intelligence EthicsSocial ResponsibilityFinancial Risk
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.
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