Artificial Intelligence as a Tool for Identifying and Mitigating Mental Harassment of Junior Researchers in Academic and Corporate Laboratories

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Darshan Panda

Abstract

Mental harassment in academic and corporate research environments is a prevalent issue that can have significant negative impacts on the well-being and productivity of researchers. In this paper, we explore the role of artificial intelligence (AI) in identifying and mitigating instances of harassment, providing a more proactive and effective means of creating safer research environments. AI technologies, such as machine learning and natural language processing, have shown promise in identifying patterns of harassment and discrimination in textual and verbal communication. By analyzing large volumes of data, these technologies can detect linguistic cues, sentiment, and other indicators of harassment, allowing for early intervention and prevention of problematic behaviour. Furthermore, AI-driven intervention strategies, such as chatbots and training programs, can provide real-time feedback and support to individuals who experience harassment, as well as promote a culture of respect and inclusion within research organizations. However, the implementation of AI solutions to combat harassment requires careful planning and consideration of ethical and privacy concerns. By understanding their legal rights and taking appropriate action, victimized researchers can seek protection and justice under the Indian Penal Code (IPC) in cases of harassment. Documenting harassment incidents, reporting them to the relevant authorities, and seeking legal advice are crucial steps in holding perpetrators accountable for their actions and creating safer research environments for all.

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