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As AI becomes embedded in everyday business and legal operations, organizations are confronting a new expectation: simply disclosing AI use is no longer enough. A critical shift is...
China has pledged to improve the accuracy, reliability and transparency of AI through a new national evaluation framework, as policymakers move to establish common standards for as...
The EFCC boss noted that AI had become inevitable in modern governance, particularly in managing the multi-billion Naira budgets, tuition revenues and research funds handled by uni...
Designing for agentic AI requires attention to both the system’s behavior and the transparency of its actions. Between the black box and the data dump lies a more thoughtful approa...
Estate agents face growing pressure to disclose their use of artificial intelligence in property transactions, with 65% of consumers believing agents should clearly state when AI i...
SIR 2.0 exposed structural weaknesses in electoral roll revision processes; an AI-enabled oversight layer integrated with ECINet could continuously monitor electoral operations, de...
As AI becomes embedded across supply chain operations, companies need to plan for heightened expectations around transparency and governance.
He stressed stronger collaboration between the CAG and the Competition Commission of India to improve transparency, protect public funds and strengthen competitive practices in pub...
The AI models at the frontier of performance are also the least transparent about how they are built and tested, according to Stanford HAI’s 2026 AI Index released Monday, which fo...
By Krystal Anjela H. Gamboa, Special Features and Content Writer Artificial intelligence (AI) has moved beyond the stage of experimentation. Across industries, governments, and ins...
Alteryx’s Sabya Sen explains why confidence in AI remains low for high-stakes decisions, and what CIOs must do to turn adoption into real business value
Canadian courts and judges are using AI in their work. Not all of them, but some of them. A small number of courts have publicly announced formal pilots or adoption of AI tools (se...
We have to insist that AI is still unsettled, still open to being shaped otherwise, and that the language and vocabulary it comes with, is not something we just accept.
On March 26, 2026, a bipartisan group of U.S. lawmakers introduced H.R. 8094, titled the “AI Foundation Model Transparency Act of 2026” (“AI FMTA”). At its core, the AI FMTA would...
The rise of artificial intelligence (AI) marks one of the most consequential transformations of the 21st century. No longer confined to laboratories or speculative fiction, AI now...
‘The people involved in transformation efforts matter’
As artificial intelligence becomes increasingly embedded in corporate strategy, operations, and investor communications, organizations face accelerating risk from “AI washing”—the...
Most global finance leaders in a new survey report that artificial intelligence is improving decision-making and forecast accuracy in the finance function, and organizations using...
Sage used its Sage Future 2026 event in Atlanta to set out a clear direction for the next phase of AI adoption in business software: greater transparency, stronger accountability a...
AI is changing how people discover, compare, and trust brands. Search is no longer limited to traditional results pages, and brand reputation is no longer shaped only by what audie...
The CFA Institute has welcomed the Financial Conduct Authority’s ‘technology-neutral’ approach to AI, but called for improved operational clarity to ensure it is deployed responsib...
Seekr CEO urges stricter standards for AI deployment and governance Trusted, explainable AI will be critical in defense and healthcare Unchecked AI systems could create future nati...
The adoption of SynthID by major AI players suggests a shift towards unified standards for AI content verification, impacting industry norms. The post Google expands SynthID waterm...
Artificial intelligence (AI) is revolutionizing environmental science by shifting the paradigm from traditional observation-based research to a dynamic, data-driven predictive disc...
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