On 19 June 2026, the AI for Developing Countries Forum (AIFOD), which publishes this site, organised an online panel addressing artificial intelligence sovereignty across developing regions. Speakers emphasised that true autonomy depends on workforce capability, local language training data, and regulatory pragmatism rather than imported computing capacity alone.
Human capability and local data
Fredrik Kocon, Human-Centric AI Transformation Programme Lead at Comptelligence Foundation and an AIFOD Global Advocate, outlined his Competence 5.0 framework during the session. He cautioned that Western artificial intelligence models reflect Western viewpoints, which may not suit other societies. Rather than pursuing technological isolation, Kocon proposed sovereign digital foundations that rely on indigenous languages and domestic data while interacting with international models.
According to Kocon, public administrations should establish small specialised groups that connect governance, local data, and accountability within collaborative digital settings. He argued that workforce initiatives should pivot towards supervising artificial intelligence agents rather than technical model training, warning that losing control over domestic data or autonomous agents undermines technological independence.
Contextual systems and credentialing
Valerie J. Pelton, General Counsel at Tracked Biotechnologies, addressed governance and workforce development, comparing emerging AI qualifications to the historical development of legal licensing in the United States prior to 1950. She noted that practical certifications can broaden participation for individuals unable to pursue formal higher education, provided standards remain rigorous.
Pelton rejected the assumption that global computing would rely indefinitely on centralised infrastructure overseas. Instead, she likened artificial intelligence deployment to electric power networks, which require regional adaptation and bespoke local interfaces. Under this model, developing economies succeed by constructing systems tailored to their domestic conditions rather than acquiring the largest foreign systems.
The discussion took place ahead of the AIFOD Geneva Summit scheduled for August 2026 at the United Nations, where the organisation's 7,200-member community planned to address the positioning of developing nations within the international technological framework.
