Artificial intelligence & AI Tools

You should not make use of AI in the production of any work for assessment without first discussing this with your lecturer. Your lecturer may ask you not to use this technology, and explain why, and you should respect this position.

There is a huge amount of development of such tools across the world without any effective regulation. The development and adoption of such tools has major implications for all aspects of higher education and other aspects of life, such as employment and social and political trends.

ATU, like all other higher education bodies across the world, is assessing this rapidly developing field and its implications for learning, teaching and assessment.

It is important at this point to reinforce a number of basic principles in relation to assessment of learning:

1. Assessment is how you can communicate your learning to others. It is important for your personal and career development that learning is your learning and not that of a computer programme or machine.
2. The quality, integrity and value of your qualification, and all others with ATU qualifications, depends on the quality and integrity of the assessment process.
3. You need to approach assessment tasks in a spirit of honest communication with your lecturers and your peers, and not seek unfair advantage, or engage in deception.
4. Attempting to represent the output of any other person or computer programme as your own, without suitable attribution, is a breach of academic integrity.

If you are using, or intending to use AI in your learning or assessment, you need to be aware of its limitations. These can include false information, bias, breaches of intellectual property rights, and the significant environmental and labour issues involved in the creation of these services.

• Chatbots & Virtual Assistants (e.g., Siri, Alexa)

• Image Recognition Tools (e.g., facial recognition software, Google Images)

• AI in Healthcare (e.g., robotic surgeries, diagnosing diseases)

• Recommendation Systems (e.g., YouTube, Netflix, Amazon)

• Natural Language Processing (NLP) tools (e.g., Grammarly, translation apps like Google Translate)

If you use generative AI in your work, cite it clearly—just like any other source. Proper attribution builds your credibility, supports academic integrity, and helps others track your ideas.

See: ATU Library: Referencing Generative AI (GenAI) in Assignments.

There are privacy concerns around the data that models like ChatGPT swallow from the internet and from users, and even problems with the models slandering or libelling people.

No one was asked whether OpenAI could use our data; this is a clear violation of privacy.