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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

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. Case studies on OpenPages: Using RegTech for AI governance.

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Automated governance and trustworthy AI

IBM Big Data Hub

Governments and regulatory bodies around the world are working to establish safety standards. The proposed rules aim to govern automated valuation models to protect borrowers. The announcement highlighted the crucial role of training data, and the terrible consequences of using data that “fails to represent American society.”.

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Data mesh 101: Domain-driven ownership and the Collibra Data Office

Collibra

And repositioning the domain expert — as opposed to a centralized source — at the center of the data ecosystem is data mesh’s first principle. . Four data mesh principles. Data as a product. Self-service data infrastructure. Federated computational governance. The journey to data mesh.

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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

The demand for an automated solution arrives as Germany’s government has mandated that electronic file management be implemented by courts in all civil, administrative, social and criminal proceedings by 2026 as part of digitalization goals established by the European Union (EU).

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

IBM Big Data Hub

IBM’s efforts to lead the industry by embracing AI ethics as a core business tenet was detailed by the World Economic Forum in a 2021 case study. An AI Ethics Board reviews all AI efforts across the company, ensuring its own technology adheres to five pillars of governed data and AI technology: Transparency. Robustness.

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Sharing best practices in our new Data to Diamonds book

CGI

Making effective use of big data has become a top priority for commercial and government organizations. Therefore, in “Data to Diamonds,” we highlight the business value realized in a wide range of industries and business functions, featuring case studies derived from CGI client engagements.