This year we presented at one conference and published three articles on artificial intelligence (AI) projects: success factors, stakeholders, and accountability. We considered the impact of the actions of project participants on society and the environment. In summary, project sponsors, project managers, & team members implementing AI systems are moral agents accountable for the harms (minor to serious, intentional or unintentional) or benefits of the systems they develop.
AI projects need:
- Clear scope
- Passive stakeholder representation
- Specialized, diverse team
- Ethic practices
- Systematic record-keeping
Should avoid:
- Moral hazards with suppliers
- Black box designs
- Moral buffers in decision-making
Must protect:
- Data & Privacy
- Financial & legal interests
- Human & civil rights
- The environment
You can find the open-source version of the articles here:
Stakeholder-Accountability Model for Artificial Intelligence Projects
Stakeholder Roles in Artificial Intelligence Projects
Artificial Intelligence Project Success Factors—Beyond the Ethical Principles
The paper Artificial Intelligence Project Success-Emerging Trends was presented at TEMSCON 2022: Societal Challenges: Technology, transitions and resilience virtual conference, April 25 – 29.2022, Izmir, Turkey.