Using AI in an Ethical Way
(22 reviews)
FREE 1-hr CPD module. As accountants, how can we ensure AI operates fairly, transparently, and in alignment with our professional standards? This course explains the crucial role of ethical oversight in maintaining trust and integrity in AI usage, covering key principles and practical applications.
This course will enable you to
- Evaluate uses and implementations of AI, highlighting the software solutions currently available
- Explain the potential practical and ethical challenges associated with the use of AI
- Recognise the key ethical considerations related to automation and financial reporting
- Identify the opportunities and constraints in the application of AI within audit
About the course
Implementing AI systems in accounting requires more than just technical know-how; it demands a strong ethical mindset.
AI offers numerous benefits to accountants, from generating financial reports and using AI driven audit software, to automating routine accounting tasks. This short course explores prominent examples of AI applications and the ethical considerations each entails.
Learn how to leverage AI responsibly, ensuring you uphold the integrity and trust that are central to the accounting profession.
This free 1-hour course has been taken from AI and Ethics. Discover more about the full 4-hour course here.
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Reviews
Maura W
23 Apr 2025
23 Apr 2025
Could have contained more examples, to make us more aware
Walter R
22 Apr 2025
22 Apr 2025
Excellent information obtained. Course content is well documented and informative. Material is easy to understand and very relevant. Reseach material is up to date and provides information on top 10 accounting firms and accounting practice as recent as 2024. Ethical issues have been raised and developed. The course content provides information to address challenges to ethical issues. There is an abundance of technical information for general information and for the accountant. The products referred to are useful for data analysis, gathering, sorting and transferring data. The critical importance of testing output and avoiding over reliance on AI has been highlighted. AI products, non-AI products, and the use of AI products with or without non-AI software have been discussed. Benefits of AI are reported and drawbacks including the potential of bias have been recognized. Critical issues such as whether output is appropriate, sensible and relevant have been raised. Recent Development
Jagath W
22 Apr 2025
22 Apr 2025
It is well structured and focused on the subject
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