Beyond AI Saviorism: A Practical approach to assessing the usefulness of AI systems

In this webinar, we welcome Hinda Haned from Owls & Arrows who will talk about responsible AI and the introduction of the Data Analytics Functionality Index (DAFI).

 

Despite the transformative potential of AI-driven decision-making for growth and innovation, many organisations still struggle to see a return on their AI investments. The core issue is rarely a lack of ambition, but the pressure to keep pace with AI hype and respond to immediate business needs. This often results in poorly planned implementations of unsuitable or non-functional AI solutions.

To address this challenge, we introduce the Data Analytics Functionality Index (DAFI). Inspired by food labelling schemes (such as the Nutriscore), DAFI simplifies the evaluation of AI-related projects through a clear, visual representation of a system’s functionality and potential decision impact. It enables decision-makers to compare AI-driven initiatives, prioritise those with real value, and make informed choices about when to pause or abandon non-viable projects.

During this webinar, participants will work through a practical use case to see how DAFI can be applied in practice. We will demonstrate how to assess an AI system using the index, interpret its functional profile, and use the results to support investment, governance, and portfolio decisions.

Hinda Haned: Responsible AI Advisor and Founder of Owls & Arrows 

Hinda Haned is a Responsible AI advisor and founder of Owls & Arrows, a consultancy specializing in Responsible AI advisory and algorithmic auditing. With more than 15 years of experience spanning academia and industry, she has worked with organizations across retail and finance to make AI both effective and trustworthy. Previously a Professor of Data Science at the University of Amsterdam, Hinda has also advised the European Research Council and supported executive teams in developing AI literacy strategies and Responsible AI governance frameworks. She regularly shares her expertise on explainable and ethical AI through her publications, talks, and collaborations with practitioners.

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When
28/01/2026 12:00 - 13:00
GMT Standard Time
Where
Online
Registration
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