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Singapore Updates Its Model Artificial Intelligence Governance Framework

Data Protection Report

On 21 January 2020 at a meeting at the World Economic Forum, the Personal Data Protection Commission ( PDPC ) and Infocommunications Media Development Authority ( IMDA ) released the second edition of its Model Artificial Intelligence (“ AI” ) Governance Framework (“ Model Framework” ). Background – the Model Framework.

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GUEST ESSAY: NIST’s Cybersecurity Framework update extends best practices to supply chain, AI

The Last Watchdog

Here are the core components the security community knows: Govern (GV): Sets forth the strategic path and guidelines for managing cybersecurity risks, ensuring harmony with business goals and adherence to legal requirements and standards. This is critically important with the emergence of artificial intelligence.

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A look into IBM’s AI ethics governance framework

IBM Big Data Hub

Yet while 79% of executives say AI ethics is important to their enterprise-wide AI approach , less than 25% have operationalized ethics governance principles. ” As AI use cases expand, broadly defined and abstract principles are proving to be insufficient by not providing clear processes for legal and ethical review.

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The Future of RegTech for AI Governance

IBM Big Data Hub

The use of artificial intelligence (AI) is now commonplace throughout society. Central to putting these principles into practice is establishing the appropriate governance mechanisms for AI systems. AI governance will require an agile approach. Integrating RegTech into broader AI governance process.

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Automated governance and trustworthy AI

IBM Big Data Hub

Artificial intelligence is being infused slowly but surely into all aspects of our lives, and it will be ubiquitous in everyday life sooner than we might imagine. Governments and regulatory bodies around the world are working to establish safety standards. In the U.S., In the U.S., This cannot be sustained by manual efforts.

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Judicial systems are turning to AI to help manage its vast quantities of data and expedite case resolution

IBM Big Data Hub

Efforts to further expand the use of emerging technologies to address this ongoing need put responsible artificial intelligence (AI) at the center of possible solutions. As such, the judiciary has long been a field ripe for the use of technologies like automation to support the processing of documents.

IT 91
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IBM ranked #1 for AI lifecycle software market share in IDC report

IBM Big Data Hub

Artificial intelligence (AI) is an essential instrument for reshaping businesses both now and in the future, with three in four organizations deploying or ramping up their AI efforts, according to Morning Consult’s April 2021 research. Governing the end-to-end data and AI lifecycle is essential for successful digital transformation.