Today

elementalaimatters.substack.com · Aug 10, 2026

AI's First Draft: The Hidden Governance Risk in Framing Critical Decisions

This article highlights a critical, often overlooked, governance risk associated with AI: its ability to frame initial problems and decisions. For internal audit and assurance professionals, this means understanding that AI-generated first drafts, while polished, can subtly narrow the scope of inquiry, embed untested assumptions, and potentially lead to incomplete or misdirected analyses. Assurance efforts must evolve to challenge not just the AI's answers, but the fundamental questions and assumptions it was given, ensuring human oversight in defining the problem before AI begins drafting solutions.

News & Blogs · Global Read more

richardchambers.com · Aug 10, 2026

Agent Washing: An Emerging Risk for Internal Audit's Radar

Internal audit professionals must recognize and address "agent washing," where vendors misrepresent basic AI or automation as advanced, autonomous AI agents. This practice creates significant risks, including under-controlled genuine AI systems, misallocated governance resources, and potential regulatory penalties for exaggerated claims. Auditors need to proactively define, scrutinize, and verify AI capabilities to ensure controls align with actual technology, protecting their organizations from financial and reputational damage.

News & Blogs · Global Read more

linkedin.com · Curated today

The Courage Paradox in Internal Audit: Navigating Professional Requirements and Organizational Realities

The Global Internal Audit Standards, effective January 2025, explicitly mandate professional courage, requiring internal auditors to act honestly and communicate truthfully, even in difficult situations. This article explores the 'courage paradox,' where individual auditors are expected to exhibit courage, yet organizational conditions significantly influence their ability to do so. It highlights the challenge of assessing this requirement, given that pressure to suppress findings is a common professional risk, and proposes frameworks for evaluation.

News & Blogs · Global Read more

Yesterday

zhaomichelle.substack.com · Aug 9, 2026

Auditing AI Hiring Tools: Focusing on Data Risks for Fair and Effective Talent Acquisition

This article, the first in a series on AI auditing, delves into the critical role of data in AI hiring tools. It highlights how biased training data can lead to legal liabilities, reputational damage, and ultimately, poor hiring outcomes. For internal audit and assurance professionals, understanding these data-centric risks is paramount to ensuring the ethical and effective deployment of AI in human resources.

News & Blogs · Global Read more

lawandcyber.com.au · Curated yesterday

Australia's New Privacy Tort: Camera Glasses and the Right to Sue for Serious Invasion of Privacy

Australia has introduced a new statutory tort for serious invasion of privacy, significantly impacting the use of devices like camera glasses. Effective June 10, 2025, individuals can directly sue those who record them without consent, even without proving financial loss. This development broadens liability to include individuals and organizations, with potential for substantial damages and injunctive relief.

News & Blogs · Oceania Read more

linkedin.com · Curated yesterday

Is Your Audit Plan Truly Helping the Organization, or Just Following a Schedule?

Internal Audit plans are crucial for structure and resource allocation, but they risk becoming rigid and irrelevant if not adapted to evolving organizational risks. This article emphasizes the need for dynamic audit planning that prioritizes strategic objectives and continuous risk assessment over static, cyclical auditing. It advocates for building flexibility into the plan to address unforeseen challenges and opportunities, ultimately ensuring Internal Audit remains a valuable and responsive function.

News & Blogs · Global Read more

This week

linkedin.com · Curated yesterday

Great Internal Audit Leadership: A Legacy of Strength and Trust

This article emphasizes that effective Internal Audit leadership is defined not by a leader's background, but by the lasting positive impact they leave on the function. It highlights the importance of building trust, fostering continuous improvement, and developing people to ensure the Internal Audit department remains strong and valuable long after a leader's tenure.

News & Blogs · Global Read more

linkedin.com · Curated 2 days ago

AI Risks Stage by Stage: Operation and Monitoring - The Silent Decay of AI Models

This article, part of a series on AI auditing, highlights the critical risks associated with the operation and monitoring stage of the AI lifecycle. It emphasizes that unlike traditional software, AI models can silently degrade over time due to 'drift,' leading to incorrect decisions without any system errors. The author stresses the importance of continuous monitoring of decision quality, clear ownership, robust logging, and defined incident response plans to mitigate these unique AI risks.

News & Blogs · Global Read more

prnewswire.com · Curated 2 days ago

Cherry Hill Advisory Introduces AI-Enabled Internal Audit Services

Cherry Hill Advisory has launched new AI-Enabled Internal Audit Services, integrating a structured AI team and an eight-service AI toolbox with experienced human practitioners. This approach aims to enhance risk visibility, strengthen controls, and deliver greater value to organizations by applying AI within the internal audit framework. The firm emphasizes that human expertise remains central, with technology serving as an enabler.

News & Blogs · North America Read more

linkedin.com · Curated 3 days ago

AI Querying Business Data: The Silent Wrong Answer Problem and the Semantic Layer Solution

As AI increasingly queries business data, a critical issue arises: the "silent wrong answer problem," where AI-generated data appears plausible but is fundamentally incorrect due to a lack of proper context and governance. This article advocates for the implementation of a semantic layer as a crucial middleware to ensure data accuracy, proper access control, and trustworthy AI outputs. It emphasizes that this layer, which defines business metrics and logic, is essential for preventing misleading information from influencing critical decisions.

News & Blogs · Global Read more