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While 95% of Board Directors believe AI will impact their business, only 5% of have implemented any AI governance frameworks. One company, Alpha is out to change that.
AI Center seeks to assist with the growing issue where as enterprises adopt AI, they require rigorous oversight, as inadequate management can lead to unforeseen or inequitable outcomes. Coralogix argues that existing AI observability approaches fall short by focusing on performance versus other attributes that impact effective usage.
The study introduces G-AUDIT (Generalized Attribute Utility and Detectability-Induced bias Testing) as a data modality-agnostic auditing tool, meaning it can be applied across different types of medical datasets,
GenAI has emerged as a solution capable of equipping boards with tools to uncover actionable insights, but a strategic framework is required to achieve these benefits.
Tagbin's partnerships with institutions like NITI Aayog, BIPARD, and LBSNAA highlight the growing recognition of AI's role in governance. By equipping policymakers with the tools they need to analyze data, anticipate challenges, and collaborate effectively, AI is paving the way for a more informed and efficient government.
The goal of the registry is to make it easier for healthcare companies to evaluate and shop between validated AI tools, the standards consortium said.
The Australian Taxation Office (ATO) has announced the Australian National Audit Office's (ANAO) report on the Governance of Artificial Intelligence (AI). It agrees to all seven recommendations in the report to bolster ethical decision-making and data integrity.
AI governance lags behind innovation, raising security and ethical risks. Leaders must balance progress with responsibility through better frameworks and upskilling.