{"id":1119,"date":"2026-07-14T12:54:08","date_gmt":"2026-07-14T12:54:08","guid":{"rendered":"https:\/\/deeplearningindaba.com\/2026\/?page_id=1119"},"modified":"2026-07-14T12:55:58","modified_gmt":"2026-07-14T12:55:58","slug":"accepted-workshops-and-short-sessions","status":"publish","type":"page","link":"https:\/\/deeplearningindaba.com\/2026\/accepted-workshops-and-short-sessions\/","title":{"rendered":"Accepted Workshops and Short Sessions"},"content":{"rendered":"
<\/span>\n

Accepted Workshops & Short Sessions<\/h1>
<\/div><\/div><\/div><\/div>
<\/div>
<\/div><\/section>\n<\/div>\n\n
\n
\n
\n

We are excited to announce this year\u2019s accepted workshops and sessions. At the Deep learning Indaba, workshops are a way for the community to contribute to the program. They offer a snapshot of what our community is thinking about, what challenges researchers are facing, and where African AI is heading next. While some proposals build on critical conversations that have been growing for years, others introduce entirely new ideas that reflect how quickly our field is evolving. Every theme emerges directly from researchers, students, practitioners, entrepreneurs, educators, and community organizers across the continent.<\/span><\/p>\n

This year, we received 67 workshop and session proposals. After a highly competitive review process, 22 have been selected for the Deep Learning Indaba 2026 program.<\/span><\/p>\n

The program features a diverse range of formats including call-for-papers sessions, interactive exhibitions, podcasts, and deep-dive panel discussions and community indaba-style conversations, all organized around key themes shaping Sovereign African AI:<\/span><\/p>\n

 <\/p>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n

\n
\n
\uf0a9<\/span><\/span><\/a><\/div>

Navigating the intellectual property frontier of African AINavigating the intellectual property frontier of African AI<\/a><\/h4><\/div><\/div><\/div>\n<\/div>\n\n
\n
\uf0a9<\/span><\/span><\/a><\/div>

Beyond Benchmarks: Scaling Multi-Turn Participatory AI Evaluations in Health and Education<\/a><\/h4><\/div><\/div><\/div>\n<\/div>\n\n
\n
\uf0a9<\/span><\/span><\/a><\/div>

Reflecting on Online Polarization and Weaponization of Social Media in Africa: The Prospect of AI for\u00a0<\/a><\/h4>

 <\/p>\n

 <\/p>\n<\/div><\/div><\/div><\/div>\n<\/div>\n\n

\n
\uf0a9<\/span><\/span><\/a><\/div>

Data, Culture, and Community: An Interactive Exhibition of the AfricaNLP Playbook and Annotation Tool <\/a><\/h4>

 <\/p>\n

.<\/p>\n<\/div><\/div><\/div><\/div>\n<\/div>\n\n

\n
\uf0a9<\/span><\/span><\/a><\/div>

4th TrustAI Workshop at the Deep Learning Indaba: How Trustworthy Are LLM-as-Judges? Implications for the African Continent<\/a><\/h4>

 <\/p>\n

.<\/p>\n<\/div><\/div><\/div><\/div>\n<\/div>\n<\/div>\n\n

\n
\n
\uf0a9<\/span><\/span><\/a><\/div>

An Introspective Look at the African AI Landscape<\/a><\/h4><\/div><\/div><\/div>\n<\/div>\n\n
\n
\uf0a9<\/span><\/span><\/a><\/div>

Building Africa's Digital Future: DIGITAfrica AI\/ML and Connectivity Blueprints for a Pan-African Research Infrastructure in Digital Sciences<\/a><\/h4><\/div><\/div><\/div>\n<\/div>\n\n
\n
\uf0a9<\/span><\/span><\/a><\/div>

How Do We Know AI Works? Lessons from Real Evaluations<\/a><\/h4>

 <\/p>\n

 <\/p>\n<\/div><\/div><\/div><\/div>\n<\/div>\n\n

\n
\uf0a9<\/span><\/span><\/a><\/div>

Whose intelligence? Building Agentic AI in Africa without frontier-model dependency<\/a><\/h4>

 <\/p>\n

.<\/p>\n<\/div><\/div><\/div><\/div>\n<\/div>\n\n

\n
\uf0a9<\/span><\/span><\/a><\/div>

Building Africa's Human Data Infrastructure<\/a><\/h4>

 <\/p>\n

.<\/p>\n<\/div><\/div><\/div><\/div>\n<\/div>\n<\/div>\n\n

\n
\n
\uf0a9<\/span><\/span><\/a><\/div>

From Prototype to Impact: Scaling Responsible Climate AI from Africa<\/a><\/h4><\/div><\/div><\/div>\n<\/div>\n\n
\n
\uf0a9<\/span><\/span><\/a><\/div>

4th Workshop on Robotics & Automation in Africa<\/a><\/h4><\/div><\/div><\/div>\n<\/div>\n\n
\n
\uf0a9<\/span><\/span><\/a><\/div>

Data Science for Health in Africa<\/a><\/h4>

 <\/p>\n

 <\/p>\n<\/div><\/div><\/div><\/div>\n<\/div>\n\n

\n
\uf0a9<\/span><\/span><\/a><\/div>

GeoAI for a Climate-Resilient Africa<\/a><\/h4>

 <\/p>\n

.<\/p>\n<\/div><\/div><\/div><\/div>\n<\/div>\n\n

\n
\uf0a9<\/span><\/span><\/a><\/div>

Building Red-Teaming Capacity for AI Safety Evaluation in African Contexts: A Hands-On Protocol Workshop<\/a><\/h4>

 <\/p>\n

.<\/p>\n<\/div><\/div><\/div><\/div>\n<\/div>\n<\/div>\n\n

\n
\n
\uf0a9<\/span><\/span><\/a><\/div>

AI Engineering in Africa \u2014 A Deep-Dive Discussion<\/a><\/h4><\/div><\/div><\/div>\n<\/div>\n\n
\n
\uf0a9<\/span><\/span><\/a><\/div>

The NeuroAI Workshop at the Deep Learning Indaba 2026<\/a><\/h4><\/div><\/div><\/div>\n<\/div>\n\n
\n
\uf0a9<\/span><\/span><\/a><\/div>

Sovereign Supply Chains: Frontier AI for Resilient African Logistics<\/a><\/h4>

 <\/p>\n

 <\/p>\n<\/div><\/div><\/div><\/div>\n<\/div>\n\n

\n
\uf0a9<\/span><\/span><\/div>

AI on Digital Public Infrastructure: Building Inclusive and Impact-Driven Public Intelligence Systems in Emerging Economies<\/h4>

 <\/p>\n

.<\/p>\n<\/div><\/div><\/div><\/div>\n<\/div>\n\n

\n
\uf0a9<\/span><\/span><\/a><\/div>

Quantum Machine Learning For Africa (QML4Africa)<\/a><\/h4><\/div><\/div><\/div>\n<\/div>\n<\/div>\n\n
\n
\n
\uf0a9<\/span><\/span><\/a><\/div>

Cultivating Sovereign African NLP<\/a><\/h4>

 <\/p>\n

.<\/p>\n<\/div><\/div><\/div><\/div>\n<\/div>\n\n

\n
\uf0a9<\/span><\/span><\/a><\/div>

Wamoja.Africa: Building a pan-African community lowering barriers to entry for participation in collective intelligence and cooperative \/ democratic AI \u2014 through art, research and practice\t\t<\/a><\/h4><\/div><\/div><\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":32,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-1119","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/deeplearningindaba.com\/2026\/wp-json\/wp\/v2\/pages\/1119","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/deeplearningindaba.com\/2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/deeplearningindaba.com\/2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/deeplearningindaba.com\/2026\/wp-json\/wp\/v2\/users\/32"}],"replies":[{"embeddable":true,"href":"https:\/\/deeplearningindaba.com\/2026\/wp-json\/wp\/v2\/comments?post=1119"}],"version-history":[{"count":4,"href":"https:\/\/deeplearningindaba.com\/2026\/wp-json\/wp\/v2\/pages\/1119\/revisions"}],"predecessor-version":[{"id":1126,"href":"https:\/\/deeplearningindaba.com\/2026\/wp-json\/wp\/v2\/pages\/1119\/revisions\/1126"}],"wp:attachment":[{"href":"https:\/\/deeplearningindaba.com\/2026\/wp-json\/wp\/v2\/media?parent=1119"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}