kaal:claim:4755632-001

Data quality is a necessary but not a sufficient condition for AI growth: algorithms, computing power, and developer expertise also play significant roles, yet access to quality datasets remains a fundamental requirement for advancing AI.

data quality alone is not sufficient for AI growth and its disruption and reinvention of business models, the algorithms, computing power, and expertise of developers also play significant roles

Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024), Background: Pain Point Data Quality, p. 6
https://ssrn.com/abstract=4755632 · source PDF

Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632

conditionsupport: arguedai-and-agents

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