Emma Tilley CIA Ph.D’s Post

Falling behind in the adoption of AI in internal audit? In this article, KPMG provides the understanding needed, including the rewards and risks, to take a strategic, thoughtful approach for successful adoption of AI in internal audit.

The Real Slim Shady of Internal Audit: Stefan Preuss at National Conference 2024 of IIA Switzerland. AI finally let us auditors appear creative 😅 Stefan shared some ideas, what we could do with AI. So let’s see, what’s happening in the next hours, days and weeks!

Interesting comments on the ICAEW regional course today that the rise in use of AI by juniors is decreasing their foundational knowledge, increasing risk and claims / errors. Firms should ensure they have a good AI policy and review the work of humans and AI. 2020 Innovation has a policy it’s members can use and we’re running a course on the topic https://lnkd.in/eSKqVTh9

Working with LLM AI models I recently encountered an interesting response where during interpretation the desired result was not achieved, we altered our data set and trained again only to discover we had hit what we came to find out as a "Hallucination". Well yes large generate AI models do encounter such and it was such an amazing experience to play with these LLM models. Has your AI encountered a "hallucination"? do share your experience.

🔗 Excited to share this thought-provoking blog post on the "The Necessity of AI Audit Standards Boards" - arXiv:2404.13060v1. This post delves into the importance of establishing an AI Audit Standards Board to navigate the evolving landscape of AI technologies. Discover why creating consistent auditing methods and standards is crucial in maintaining public trust and ethical responsibility in the AI industry. Read more at: https://bit.ly/3U36yyY

The Three Layers of AI Auditing 🔍 AI auditing is essential but often misunderstood. The IAAA recently released a guide detailing the three crucial layers for a comprehensive AI audit: 🔒 Governance Audits: Reviewing organisational structures and compliance protocols 📊 Model Audits: Evaluating technical metrics and fairness of models 🌍 Impact Audits: Analysing real-world outcomes and societal effects Why all three? A full audit covering governance, model integrity, and real-world impact is essential to ensure AI's effectiveness and trustworthiness. Explore the full guide by IAAA here: https://lnkd.in/gQdq-PQt

Incorporating AI into your strategy has never been more critical. Join our exclusive AI Introduction event and manage the challenges, skills, and ethical challenges of AI with confidence. Learn more on our website. https://lnkd.in/ebTK_CZU

Over the last week I have had the pleasure and privilege to present to our UK and Canadian Internal Audit teams on the power of AI for IA. In the UK session we had the team all together in our Embankment Place office and there was a real buzz as we brainstormed new use cases to help us to utilise GenAI to deliver greater value, at a faster pace to our clients. In both sessions we also discussed how we as internal auditors are key to supporting our clients in their AI development journeys, and the different ways that we have been doing this already.  Providing assurance at the right time in that journey is crucial to mitigating and managing the risks associated with AI adoption. #AIinIA #GenAi

In this #WorkdayAI Masterclass lesson, our own Kelly Trindel shares insights on building a responsible AI program. Learn about AI risk evaluations and the importance of transparency: https://w.day/3SvmbiP  . #TeamWDAY

In this #WorkdayAI Masterclass lesson, our own Kelly Trindel shares insights on building a responsible AI program. Learn about AI risk evaluations and the importance of transparency: https://w.day/3SvmbiP  . #TeamWDAY