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LinkedIn Fairness Toolkit (LiFT) IEEE Ethics Certification Program for Autonomous and Intelligent Systems (ECPAIS) Danish Data Ethical Dilemma Game Negotia AI Governance System Organisation LinkedIn IEEE SA Danish Business Authority Negotia, The Why Not Lab, Finansforbundet, Nito, YA Tool origin Stakeholder group Private sector Technical community Public sector Trade union, Private sector, Public sector Country/Region North America International Denmark Norway Date of publication 2020 2018 2020 2021 Type of Approach Technical Procedural Educational Procedural / Educational Tool categorisation Type of Tool Toolkit Sector-specific codes of conduct Educational material Governance framework / Collective agreement Technology platform Platform neutral Platform neutral Platform neutral N/A Target stakeholder group All Trade union / worker representative, Private sector, Technical community, Public sector Private sector (SMEs) Trade union / worker representative, Private sector, Public sector Policy area All All Digital economy / Corporate governance All Geographical scope International International Denmark Norway Scope Target users of the tool AI system business leader, AI system technical developers, AI system operators, Data scientists AI system business leader, AI system technical developers, IT specialists, AI system operators, AI system operators, Data scientists, All employees, AI system business leader, All employees, Project Government agencies, Executive management Project managers managers, HR managers, Executive management Impacted stakeholders Employees, Consumers Employees, Consumers, Regulators, Specific policy communities Employees Employees, Regulators, Management Planning & design, Data collection & processing, AI system lifecycle stage(s) covered All stages All stages Planning & design, Data collection & processing Verification & validation, Deployment, Operation & monitoring Relevance to: Socio-economic and environmental impacts Medium Low Low High Relevance to: Human-centered values and fairness High Medium High High Relevance to: Transparency and explainability Medium High High High Relevance to: Robustness, security and safety Low High Not relevant Low Relevance to: Accountability High High Moderate High Alignment with AI Principles Relevance to: Investing in research High Low Not relevant Not relevant Relevance to: Data, compute and technologies High Medium Low Low Relevance to: Enabling policy environment Low Medium Not relevant High Relevance to: Jobs, skills, transitions High High High High Relevance to: International cooperation Medium High Not relevant Not relevant Relevance to: Human agency and oversight* Maturity of the tool Implemented in multiple projects In development In development Project stage Degree tool is kept up-to-date Always up to date Periodic review Periodic review Periodic review Degree of free use of the tool Open source Free-to-use (creative commons) Free-to-use (creative commons) Free-to-use (creative commons) Required IT skills to implement High Medium High Medium Required domain expertise to implement Medium Medium High Medium Required data to implement High Medium High Medium Potential for adoption Required IT infrastructure to implement Medium Medium Moderate Low Required operational infrastructure to implement Medium Medium Moderate Medium Required financing to implement Medium Low Low Low IT employees, Operations employees, Business unions, Trade unions / worker representatives, IT employees, Clients, Suppliers, Government Operations employees, All employees, Business Stakeholders involved IT employees, Operations employees Government agencies agencies unions, Trade unions / worker representatives, Suppliers Reduction in the risk of AI system failure, Increased Expected benefits Reduction in the risk of AI system failure, Reduction in cost of AI system implementation, Faster implementation of AI system, Increased quality of Reduction in the risk of AI system failure, Faster implementation of AI system, Increased quality of Higher awareness among employees and quality of results of AI system, Improved ability of AI results of AI system, Improved ability of AI system's implementation to scale results of AI system, Improved ability of AI system's implementation to scale companies on data ethical issues related to AI system's implementation to scale, Responsbile implementation of AI system Implementation incentives Internal mediation (ombudsman), Governmental Enforcement mechanisms Depending on use context Certification Internal mediation (ombudsman) regulation, Enforcement body, Reporting frameworks, Collective agreements
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