Abstract

The use of AI-generated text in research proposals has the potential to streamline the writing process, enhance efficiency, and improve the overall quality of proposals. However, it is essential to consider the potential implications for diversity dimensions, such as inclusivity, representation, and cultural sensitivity. In this session, we will discuss the advantages and disadvantages of using AI-generated text in research proposals, highlighting the importance of maintaining diversity dimensions and being aware of biases.

Three arguments for discussion:

1. Efficiency and Quality Improvement:

AI-generated text can significantly enhance the efficiency of writing research proposals. It can quickly generate well-structured and coherent content, saving researchers valuable time and effort. Moreover, AI algorithms can analyze vast amounts of data and provide relevant information, leading to more comprehensive and well-informed proposals. This efficiency and quality improvement can benefit researchers from diverse backgrounds, allowing them to focus on other aspects of their work.

For example, researchers who are non-native English speakers may find AI-generated text helpful in overcoming language barriers and producing high-quality proposals. This can promote inclusivity and diversity by providing equal opportunities for researchers with different linguistic backgrounds.

2. Potential Bias and Lack of Cultural Sensitivity:

One of the main concerns regarding AI-generated text is the potential for bias and lack of cultural sensitivity. AI algorithms are trained on existing data, which may contain inherent biases. If not carefully monitored and regulated, AI-generated text could perpetuate existing biases, leading to exclusion and marginalization of certain groups.

For instance, if AI-generated text predominantly draws from research conducted in Western countries, it may overlook valuable contributions from non-Western perspectives. This lack of cultural sensitivity can hinder the representation of diverse voices and limit the scope of research proposals.

3. Ethical Considerations:

The use of AI-generated text raises ethical concerns related to authorship and plagiarism. While AI algorithms can generate text, they lack the ability to understand the ethical implications of their actions. Researchers must ensure that proper credit is given to human contributors and that the generated text is appropriately cited. Failure to do so could undermine the integrity of research proposals and compromise the trust within the scientific community.

Learning outcomes:

Discussing and sharing knowledge and ideas on the advantages and disadvantages of using AI-generated text in research proposals, whilst highlighting the importance of maintaining diversity dimensions and being aware of biases.