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McKinsey addresses algorithmic bias in AI neatly and structurally but overlooks inherent philosophical paradoxes and complexity dynamics. A multidisciplinary, agile model that incorporates ethical pluralism and continuous adaptation better suits today's AI landscape. Revisiting older frameworks is essential due to shifting societal norms and emerging regulations.

Incomplete knowledge of history shapes strategic advantage and de facto freedom in a deterministic world. The tension between predestination and free will resolves through the sustaining power of historical ignorance.

The University of Barcelona's team is exploring how combining AI, digital technology, and archaeological methods can provide a deeper understanding of history. Their research introduces concepts like Units of Topography and Actor to enrich archaeological standards. This approach aims to make history more accessible and better understood through modern technology while valuing human interpretation.

In an era fuelled by the might of big data, the question arises: can the blossoming field of event prediction enrich the realm of historical research? Delving into this interdisciplinary area, while recognizing its inherent complexities and potential setbacks, could be a stride towards constructing a higher quality historical timeline.