TESCREAL and AI-Related Risks

TESCREAL serves as a lens through which we can examine the motivations and potential implications of cutting-edge technological developments, particularly in the field of artificial intelligence (AI).

As these ideologies gain traction among tech leaders and innovators, they are increasingly shaping the trajectory of AI research and development. This insight brief explores the potential risks and challenges associated with the TESCREAL framework, focusing on anticompetitive concerns, the impact on skill estimation and workforce dynamics, and the need for sensitisation measures. By understanding these issues, we can better prepare for the societal and economic changes & risks that advanced & substandard AI technologies may bring.

It is crucial to consider not only the promises but also the pitfalls of the hype rapid advancement. This brief aims to provide a balanced perspective on the TESCREAL ideologies and their intersection with AI development, offering insights into proactive measures that can be taken before formal regulations are implemented.

Introduction to TESCREAL

The emergence of TESCREAL as a conceptual framework marks a significant milestone in our understanding of the ideological underpinnings driving technological innovation, particularly in the realm of artificial intelligence. This acronym, coined by computer scientist Timnit Gebru and philosopher Émile P. Torres, encapsulates a constellation of interconnected philosophies that have profoundly shaped the trajectory of AI development and the broader tech landscape.

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