AI and Ethics
AI is transforming how we work, offering unprecedented efficiency and insights, but also significant ethical challenges. How do we ensure AI operates fairly, transparently, and in alignment with professional standards? Find out how to harness AI responsibly while upholding the integrity and trust central to the accounting profession.
£150 +VAT
AI and Ethics
£150 +VAT
365 days’ access
This course will enable you to
- Identify and apply core ethical principles and governance frameworks relevant to AI in accounting
- Identify key risks of AI in accounting
- Understand responsibilities related to privacy, data security, transparency, and accountability in AI systems
- Identify different forms of bias
- Build trust in your organisation’s AI tools and systems
About the course
As AI becomes integral to finance and accounting, understanding its ethical implications is crucial. Implementing AI in accounting requires more than just technical know-how – it demands an ethical mindset.
Not all AI tools are created equal; their effectiveness depends on aligning with ethical standards and business needs. The future of finance lies in the synergy between AI and human expertise, known as “hybrid intelligence”.
This course explores prominent AI systems and the ethical considerations they raise, helping you assess whether an AI solution is both effective and ethically sound. It will help you identify key risks and take steps to mitigate them.
Contents
Why ethics in AI matters
Defining AI
What we mean by AI
Ethical concepts and AI
Accounting ethics
A closer look
Wider ethical issues
Frameworks and principles for AI
Using AI in an ethical way
When to use AI
AI and reporting
Creating financial reports
Key considerations for audit
Undertaking audit work
The danger of bias
Ensuring AI is fit for purpose
Assessing the risks
Privacy and data security
Ensuring accuracy
Accountability
Taking responsibility
Accessibility
Transparency and explainability
Hybrid intelligence
Building trust in AI
Incorporating ethics into AI tools
How to spot bias
Sources of bias
Algorithmic and cognitive bias
AI ethics committees
Author
Julia Penny
Julia Penny was President of ICAEW in 2022-2023, having been a non-executive ICAEW Board member since 2017 and Chair of the Board during her year as President. Julia is a well-known speaker and writer on audit, financial reporting, anti-money laundering and wider issues impacting the profession.
29 reviews for AI and Ethics
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Mark Robbins –
Very good overview and linking of ethical issues to specific AI examples. Further reading links are generally very high quality. Could do with updating for recent developments.
Jennifer Quigley –
Thought provoking and interesting course.
Emmylou Wellacott –
Thought provoking in an area that is going to dramatically change the way in which we work and interact with the world at an exponential rate.
Linnette Daniels –
Good overview of frameworks and consideration when working with AI
David Machin –
Very interesting and though provoking subject and course.
Khumo Tebogo –
a very good course
Charles Walker –
This course was not only useful, but also really interesting given it’s relevance to the profession.
Abel Bogatsu –
The content is precise and succinct. The requirement for discussion points along the course is good and may should be mandatory and meaningful. May be AI could be used to read the comments to ensure leaners not enter irrelevant or incomprehensible text
Richard Marles –
A great course, with great content and well delivered. As AI is becoming more and more prevalent, courses like this become increasingly important so that we can understand and manage the issues, and insure effective use of AI going forward.
Yang Li –
Great course
Lynaire Kelly –
Very helpful course
Philip Austin –
Covered all the issues. Videos very good.
Louis van der Walt –
Good informative course
Rishi Sharma –
A relevant course!
Simon Anderson –
Finally, an ethics course that could have practical use. The info was thought provoking.
Erian Camargo Salazar –
maybe at the bebinning I didn’t think it was necessary.
Vicky Andrew –
Good subject coverage. Liked the range of delivery methods and breaking the content down into small sections – helps to maintain focus. Also liked having a document to save at the end, which I can use for ongoing reference.
Farrukh Mehmood –
Well structured and explanatory
Tracy Maidment –
This is a fascinating area and is well covered.
Denise Vincent –
Excellent content, well structured and thorough in helping to understand the benefits and risks of AI and the impact on our future working and non- working lives.
Denis Williams –
The course gave a very clear outline of the important aspects of the foundations of appropriate implementation of AI, with ethical considerations.
laura moldoveanu –
Great course, highlighting main aspects, benefits and risks that using AI brings. I also appreciate the accessible language used int he course, making it easy to read even to the non-tech people like me.
Edwin Parr –
This course is very informative.
Claire Slattery –
Very helpful. The subject of AI can be intimidating, but this is a good overall view on dealing with the matter of ethics in AI, a very important consideration.
Mogomotsi Mogapi –
good
Michael Samuels –
I found the course interesting particularly around job displacement, AI risk and types of bias. Important and developing aspects of AI will be human input into AI output (Hybrid)
Bonolo Bopa –
I enjoyed learning all that I could about AI
Mui Sang Tan –
Great.
Mireia Corredor Marcos –
Congrats to Julia and the whole team on the excellent job you did on this course.