ICAEW.com works better with JavaScript enabled.

Find out what you should and shouldn't do when it comes to using Generative AI:


  1. Define your objectives, articulating Generative AI-related goals and objectives.
  2. Understand the capabilities and limitations of different Generative AI models and implementations.
  3. Ensure you have appropriate policies and guidelines in place as to the use of Generative AI.
  4. Ensure you, and those using generative AI in your organisation, have a base level understanding of how the technology works as a minimum and ensure staff using Generative AI systems are adequately trained.
  5. Start with small projects or proof-of-concepts that are not business critical. Learn from these, about potential impacts and feasibility, before scaling up.
  6. Prepare your data, focussing on accuracy, hygiene, quality and diversity
  7. Continuously monitor and evaluate Generative AI outputs against your objectives and standards and against expected outputs.
  8. Include humans in the loop as necessary. Review and challenge outputs with professional scepticism, avoiding automation bias.
  9. Create detailed prompts – explain exactly what you want Generative AI to do and give it a good example of how to do something.
  10. Make it clear when Generative AI has been used in producing content;
  11. Consider a scientific approach to using generative AI, where rigour and accuracy are important – apply a tight framework and repeat prompts to reduce the risk of anomalous responses.
  12. Be curious and experiment! But be responsible too.


  1. Ignore ethical aspects: develop guidelines for responsible use of generative AI. 
  2. Abdicate responsibility: generative AI models and outputs require human oversight.
  3. Overestimate generative AI models: they are tools to complement human expertise.
  4. Underestimate the hardware or infrastructure requirements of generative AI. It requires significant volumes of good quality data.
  5. Disregard user feedback: use it to identify and address issues, as well as improve models.
  6. Fall foul of data protection, privacy and intellectual property considerations: keep client and confidential internal data off public generative AI tools, and make sure you have permission to train a model using someone else’s IP or data.
  7. Ignore potential inconsistencies and inaccuracies in generative AI outputs.
  8. Forget that the implementation of new technology requires cultural change: supporting those with legitimate concerns about AI is crucial to its successful adoption.

As considerations vary across sectors, organisations, use cases and data, these do’s and don’ts should be evaluated and adapted to reflect specific needs.

You may also be interested in

Finance in a Digital World - support for ICAEW members and students on digital transformation and technology
Finance in a Digital World

ICAEW has worked with Deloitte to develop Finance in a Digital World, a suite of online learning modules to support ICAEW members and students, develop awareness and build understanding of digital technologies and their impact on finance.

Artificial intelligence
Artificial intelligence

Discover more about the impact of artificial intelligence and the opportunities it presents for the accountancy profession. Access articles, reports and webinars from ICAEW and resources from tech experts.

Browse resources
ICAEW Community

Do you use Excel in your organisation? Are you using it to its maximum potential? Develop your skills and minimise spreadsheet risk with our Excel resources. Join the Excel Community.

Open AddCPD icon

Add Verified CPD Activity

Introducing AddCPD, a new way to record your CPD activities!

Log in to start using the AddCPD tool. Available only to ICAEW members.

Add this page to your CPD activity

Step 1 of 3
Download recorded
Download not recorded

Please download the related document if you wish to add this activity to your record

What time are you claiming for this activity?
Mandatory fields

Add this page to your CPD activity

Step 2 of 3
Mandatory field

Add activity to my record

Step 3 of 3
Mandatory field

Activity added

An error has occurred
Please try again

If the problem persists please contact our helpline on +44 (0)1908 248 250