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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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