STEP 6: SUSTAINABILITY AND CLOSURE

What is the mechanism for periodically revisiting ethical assessment?

Ethical assessments must be revisited over time as models change and expand. Stakeholders must consider ethical questions such as the risks involved in the delivery model and those associated with its competitive advantage. Stakeholders must decide whether an innovation is worth sustaining over time, and whether it is worth scaling without compromising issues of equity and ethics. A systems perspective, beyond individual organisations, is often required during this stage. This includes considering where data is stored, who owns it at the end of the project, how it is disseminated, and who receives the results of the evaluations. Lessons for co-creation with communities and effective multi-stakeholder collaboration coming out of this work should also be shared with the wider community.

Please find below a legend of what can be found within the framework:

📚Resources - e.g. reports, articles, and case studies

🛠Tools - e.g. guidelines, frameworks and scorecards

🔗Links - e.g. online platforms, videos, hubs and databases

❌Gap analysis - tools or resources are currently missing

👥 List of stakeholders which should be included in the specific decision point

  • 👥 E&I experts, whole organisation, implementing partners

    🛠 AI Ethics for Nonprofits Toolkit - Toolkit developed by NetHope, USAID and MIT D-Lab with several resources to conduct AI ethics workshops focused on ethical considerations related to the principle of Fairness

    🛠 WeBuildAI: Participatory Framework for Algorithmic Governance - Collective participatory framework to build algorithmic policy for communities. The key idea behind the framework is to enable stakeholders to construct a computational model that represents their views and to have those models vote on their behalf to create algorithmic policies

  • 👥Implementing partners, end users, ethical teams, product developers

    🛠 AI ethical self-assessment for Actors of the Entrepreneurial Ecosystem - AI ethical self-assessment tool and guidelines developed by IADB for entrepreneurs. The tool allows an analysis of the technological solutions based on AI and data management helping entrepreneurs to improve their product development, by identifying the main areas of attention to prevent errors, biases, discrimination and exclusions