1 Ethical norms, values, principles or theories:
· it is important to identify the ethical norms, values, principles or theories that will guide the project’s intervention approach. This may include principles of transparency, fairness, accountability, and non-discrimination.
· Consider how these ethical considerations apply to the use of AI in the economic domain. For example, in the context of economic decision-making, fairness may relate to preventing biased outcomes or ensuring equality of opportunity.
2 Ethical Dimensions of Projects:
· Evaluate the project from an ethical perspective. Identify ethical challenges and risks that may arise during project implementation.
· Consider issues such as data privacy, algorithmic bias, impact on vulnerable or marginalised groups, and potential problems that could lead to unintended consequences. Reflect on how the project may affect economic stakeholders, such as consumers, businesses, or government agencies.
3 Ethical Review Form:
· When completing the ethical review form for the project, clearly articulate the ethical dimensions I have identified. Explain how I plan to address these ethical issues and mitigate potential risks.
Provide detailed information about the steps required by law and regulation to ensure compliance, such as GDPR and AI ACT.
· Outline the steps I will take to ensure transparency, fairness and accountability in your AI systems. This may involve data audits, model interpretations and fairness testing.
· Describe the measures I will implement to monitor and address ethical issues throughout the project lifecycle. This could include continuous monitoring, feedback loops and regular evaluation of the impact of your AI system
