Balancing Innovation and Academic Integrity

When discussing the use of generative artificial intelligence (Gen AI) in academia, it is important to address data privacy, intellectual property (IP), and legislative concerns, as these issues can impact the utilisation of artificial intelligence (AI) tools. Data privacy is a significant concern because Gen AI models require large amounts of data, which may include sensitive or personal information. Privacy breaches and data misuse may discourage academics from fully adopting these technologies. IP issues arise from how Gen AI models are trained and from the content they produce. These models often use copyrighted material without explicit permission, leading to disputes over ownership and the legality of AI-generated content. This ambiguity in IP rights can affect the adoption of AI in research, as academics may be unsure about the legal implications of using or publishing AI-generated work. Additionally, the legislative landscape surrounding Gen AI is still developing. Current laws may not fully address the challenges posed by AI, such as the attribution of generated content and the protection of proprietary data. This legal uncertainty can create challenges for academics who need clear guidelines to ensure compliance and protect their work. Addressing these concerns through comprehensive discussions and updated regulations are necessary for creating an environment where academics can use Gen AI effectively and ethically.

Chapter Goal: Show the ethical usage of Gen AI for academic purposes