How high is the probability that artificial intelligence will scan erudition and then automatically award a doctorate based on that scan? How? Why?
AI is making advances in areas like natural language processing that could allow scanning and comprehending large volumes of text. However, truly understanding academic works at the level required to judge doctorate-worthy contributions is an extremely high bar.
Noteworthy is that academic credentials are meant to represent years of deep study, original research contributions, evaluation by experts, etc. Simply scanning existing work, no matter how extensively, would likely not be seen as an equivalent substitute.
There are major open questions around whether AI could comprehensively evaluate the novelty, rigor, and importance of academic research on its own. Doing so at a level considered credible by the academic community seems unlikely in the near future.
In fact, awarding credentials is also an institutional process requiring academic committees, administrators, and codified rules and standards. An AI system would likely need to integrate with that existing infrastructure rather than replace it outright in the near term.
There are also ethical considerations around automating credentials and the purpose those credentials serve. Review by human experts seems more consistent with ensuring merit and upholding academic values.
It must be noted that while AI is making strides in knowledge and language tasks, automatically scanning and credentialing human academic work to the standard of a doctorate seems highly improbable any time soon. Advances could shift assessments over longer timescales, but significant human judgment seems essential for the foreseeable future.
AI cannot be an automatic judgement institution to play a decisive HDR role for confirming High Research Degrees. Applications of AI, such text, images or natural language processing recognition ChatGPT, can help the researchers and peer reviewers to establish best professional development of writings with checks/tests.
there is no widespread use of artificial intelligence (AI) systems autonomously awarding doctorate degrees based on the scanning of erudition. The process of awarding a doctorate degree involves comprehensive evaluation of a candidate's research, contributions to the field, and mastery of the subject matter. This evaluation is typically conducted by a committee of experts in the relevant field.
Here are some reasons why the probability of AI autonomously awarding doctorate degrees is currently low:
While AI is increasingly being used in academia for tasks such as plagiarism detection, literature review, and data analysis, the process of awarding doctorate degrees involves a level of complexity and context that is challenging for current AI systems to fully replicate.
It's important to note that the field of AI is dynamic, and advancements continue to be made. Future developments may bring new capabilities, but the ethical, academic, and human judgment considerations involved in awarding doctorate degrees are likely to remain integral to the process. Additionally, any potential use of AI in academic evaluations would need to adhere to established standards and guidelines to maintain the integrity of academic degrees.
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