Measuring what matters: Athena’s framework for responsible AI evaluations
Webinaire | En ligne
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Organisé par:
Athena Infonomics
À propos de l'événement
AI deployment is rapidly outpacing governance and regulation. Athena Infonomics will showcase its AI Evaluation Framework—a structured approach with four pillars: technical accuracy, human-context validation, attributable developmental impact, and red teaming—for evidence-based, responsible deployment of AI for social good. Drawing on a landscape analysis of AI in agriculture and a live case from Andhra Pradesh, the webinar offers evaluation practitioners, AI developers, and programme managers a replicable framework for responsible AI evaluation.
Conférenciers
| Nom | Titre | Biography |
|---|---|---|
| Dr. Francis Xavier Rathinam | Senior Director - Global MERL, Athena Infonomics | Francis is a seasoned evaluation expert with deep experience in impact evaluations, technical advisory, and M&E systems. He will share lessons from Athena’s AI framework and its integration within evaluation systems, emphasising ethics and practical applications. |
| Aditi Namdeo | Independent Expert - AI for Social Impact | Aditi will bring a systems-level perspective on responsible AI deployment, drawing on two decades of work across innovation, data governance, financial inclusion, and AI for social impact, including current work on evaluating AI interventions with the Gates Foundation. |
| Zeba Siddiqui | Senior Consultant - MERL, Athena Infonomics | Zeba is an evaluation professional with demonstrated contributions to several evidence synthesis projects for big data and group-based livelihood interventions in L&MICs. As the co-author of Athena’s AI evaluation framework, she will situate its relevance within Athena’s AI portfolio. |
Moderators
| Nom | Titre | Biography |
|---|---|---|
| Deepa Karthykeyan | Co-Founder & Partner, Athena Infonomics | Deepa is a leader in multi-disciplinary programme development at Athena, with expertise in systems design and WASH. She will share insights from her experience as the head of Athena’s AI vertical, emphasising gender inclusion and pro-poor approaches in evaluation. |