International Reports Portfolio
These documents serve as a testament to my engagement with the international community, aiming to foster a deeper understanding and collaborative approach to AI’s global challenges and opportunities. I have sponsored and commissioned some and co-authored others, and edited as well.
Social Impact Bonds and Artificial Intelligence
Co-author
In a nutshell: In the article titled “A manifesto concerning Artificial Intelligence for monitoring Sustainable development: The missing link between SDGs, Investment and trust“ we present a manifesto where social impact bonds can be combined with AI to create credibility and demonstrating tangible advancements towards SDGs, advocating for a unified endeavor among NGOs, the UN, corporations, investors, and nations to forge a solid, open, and transparent system for quantifying and certifying SDG achievements.
Mechanisms to optimise research excellence in the Global South
Co-author
In a nutshell: In the article titled “Artificial Intelligence and development projects: A case study in funding mechanisms to optimise research excellence in sub-Saharan Africa“ we show how a bottom-up approach with small-scale investments has resulted in significant research on different scientific, non-scientific, engineering and educational topics, including a profile of African languages. We conclude that, on first impression, independently of the funding mechanism, there is a
case for sub-Saharan Africa to receive much greater funding for AI in science.
Open Data for Artificial Intelligence
Expert Advisor
In a nutshell: Due to the magnitude of the tasks Governments should not only embrace opening the data, but also create favorable conditions for beneficial AI engagement that creates new knowledge out of the open data, for evidence-based decision-making. Reading through this report we present guidelines for Governments to establish an action plan as well as an open data policy for sustainable development.
Gender Bias in Artificial Intelligence
Co-author and Team Lead
In a nutshell: To ensure fairness and inclusivity in AI, prioritize the integration of ethical considerations and comprehensive bias mitigation strategies from the outset of AI development, with a focus on diverse representation within teams and training datasets. For this report, I partnered with an international and diverse group of researchers.
Comic Strip on Artificial Intelligence
Editor-in-Chief
In a nutshell: I edited the Slovenian version of a graphic novel on Artificial Intelligence and ethical aspects of digital technologies especially appealing to children. The comic aims at providing an educational media to young adults who are curious and interested in learning more about AI, its challenges and stakes.
Artificial Intelligence Needs Assessment in Africa
Expert Advisor
In a nutshell: The report offers a comprehensive look into the landscape of AI development and governance across the African continent. Highlighting responses from 32 member states, the report underscores the burgeoning potential of AI to address a wide array of developmental challenges, despite existing infrastructural and capacity gaps. A noteworthy $89 trillion has been allocated globally towards SDG-aligned investments, with AI positioned as a pivotal tool for achieving sustainable development goals.
Responsible Artificial Intelligence in Sub-Saharan Africa: A general state of play and landscape
Report Sponsor
In a nutshell: Key findings include the crucial need for policy harmonization, with only 21 out of 32 responding countries prioritizing AI in national development, and a glaring gap in legal frameworks, particularly around data protection, where only 22 countries have established laws. The report made the case for the 2nd round of the AI4D programme.
Artificial Intelligence capacity in Africa
Report Sponsor
In a nutshell: The AI landscape across 32 African nations, exploring the region’s readiness and capacity for harnessing AI technology. With an emphasis on capacity building among key stakeholders; Centres of Higher Education and Training, Governments, and the broader AI community, the study uncovers a mixed readiness for AI adoption, influenced by infrastructural and educational constraints.
