The AI Dilemma in Proposal Writing: Perspectives and Controversies

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Disclaimer: This article was written with inputs from Pak NGOs members (their names are mentioned) and with the help of Artificial Intelligence – Chat GPT

In the ever-evolving landscape of technology, the role of artificial intelligence (AI) has become a subject of debate within the realm of proposal writing. A diverse array of opinions has emerged from professionals across various fields, shedding light on the potential benefits and pitfalls of incorporating AI into this crucial aspect of project procurement.

Asadullah Baig, a seasoned professional, emphasizes the complexity of winning a project, asserting that while AI may assist in the initial stages, it falls short in addressing key factors such as organizational management systems, policies, and the expertise of a technical team. Baig argues that relying solely on AI for proposal writing may result in a lack of depth, urging organizations to prioritize the development of robust management systems and hiring processes to ensure transparency and compliance.

Contrary to Baig’s skepticism, Majid Hussain embraces the positive impact of AI in proposal writing. He acknowledges the displacement of certain jobs due to technological advancements but highlights the undeniable efficiency AI brings. Hussain suggests that, like other technological innovations, AI should be embraced for its time-saving capabilities, dismissing concerns about hindering human creativity and emphasizing the need for responsible usage.

On the other hand, Ghazala Jasmeen vehemently opposes the idea of utilizing AI for proposal development. Jasmeen contends that AI is incapable of generating comprehensive proposals for NGOs, emphasizing the inability to incorporate ground realities and specific area knowledge. She questions the credibility of AI in comparing competitors within a proposal and argues that donors should be cautious about relying on AI-generated content.

Dr. Huma Haq echoes Jasmeen’s concerns, emphasizing the potential consequences of using AI-generated proposals. As a career academic, Haq stresses the importance of understanding the intricacies of proposed projects, asserting that AI-generated content may lack comprehension and expertise, leading to complications during project execution.

Muhammad Tauqeer highlights the challenge of integrating AI technology into education, suggesting that students at the university level should be introduced to AI for basic assignments to familiarize themselves with this advanced technology.

S. Srinivasan offers a contrasting perspective, appreciating the opportunities presented by AI in developing proposals. Srinivasan sees AI as a tool that can complement individual ideas and machine learning practices, emphasizing the ease of detecting plagiarism using AI and encouraging the independent release of creations.

In conclusion, the debate over AI in proposal writing remains nuanced, with professionals expressing a spectrum of opinions. While some advocate for embracing AI for its efficiency and time-saving benefits, others caution against its limitations, emphasizing the importance of human expertise in crafting comprehensive and contextually relevant proposals. As organizations navigate this evolving landscape, a balanced approach that incorporates AI while valuing human insights and expertise appears to be the key to successful proposal development.

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