In this episode of the Data Strategy Gurus Podcast, hosts Yves Mulkers and Angelika Klidas dive into the fascinating world of AI literacy.
As AI continues to rise in prominence, the conversation explores the significance of AI literacy and its distinctions from data literacy. Angelika shares insights on why the term "AI literacy" may be more of a marketing strategy and emphasizes the importance of understanding the implications, governance, and ethical discussions involved in AI. Yves and Angelika discuss the intertwined nature of data literacy and AI literacy, highlighting that working effectively with AI solutions requires a solid foundation in data management and governance.
As they unravel the complexities of AI literacy, this episode guides listeners on how to navigate the data and AI landscape, offering valuable takeaways and insights on fostering an informed approach to AI adoption.

Angelika Klidas embarked on a journey into the world of data literacy around six years ago, when she was instrumental in developing innovative programs in marketing data literacy.
Her passion for fostering understanding in this domain set the groundwork for her subsequent endeavors in AI education. The launch of OpenAI's large language model on November 30, 2022, marked a significant milestone in the AI landscape, sparking widespread interest and discussions about AI's novelty.
However, with her extensive background, Angelika perceives AI as a long-standing field rather than a new phenomenon.
As conversations about AI literacy gained traction, Angelika contributed her insights, expressing a nuanced perspective that challenges the appropriateness of the term "AI." Her work continues to influence discussions on how best to integrate and understand AI in contemporary contexts.

[00:00] Intro
[00:15] Defining AI Literacy
[04:24] Rethinking AI: Literacy vs. Adoption
[08:01] Rethinking "Data and AI Literacy"
[11:38] Prompt Crafting Challenges
[14:05] AI Contextual Awareness Challenges
[17:15] What's next for AI

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I'm Yves Mulkers, a Data strategist, specialised in Data Integration. I have a wide focus and domain expertise on All Things Data . My skillset ranges from the Bits and Bytes up to the strategic level on how to be competitive with Data and how to optimise business processes.
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