2022, Vol., No.39

PHILOSOPHY·THOUGHT·CULTURE 2023 KCI Impact Factor : 0.5

pISSN : 1975-1621 / eISSN : 2092-0873
https://journal.kci.go.kr/insewtdgu

This study contains the process of deriving specific technical ethics scenarios for neuroethics research. It based on the results of a human trial study of deep brain stimulation for the purpose of improving memory, which was recently conducted at Seoul National University Hospital and known through the media. This scenarios process was based on the results at Seoul National University hospital in 2020, presented by Professor Chun Kee Chung, a neurosurgeon and Soyeon Jeon a neuroscientist at the Department of Brain and Cognitive Science at Seoul National University. Based on this study, the scenario derivation method was divided into two stages. First of all, it was checked whether the basis for the preparation of the technical ethics scenario was appropriate in the six criteria. Criteria are 1) researcher's credibility and the existence of scientific basis, 2) unethical or illegality of research procedures, 3) commercial research purpose, 4) scientific specificity, 5) potential for development 6) Possibility of social impact. The “Deep Brain Stimulation Technical Ethics Scenario for the purpose of improving memory for test takers” thus derived is expected to be a necessary basis for neuroethicists and humanities scholars who wish to discuss humanities.

This paper aims to explore the foundation of applying the ethical algorithm to eliminate pains to AI ethics teaching and class under the design of Bentham’s Deontology. In his notion of utility, the conception of pain is the object to be rev moved. Any action to get ride of pains is seen as that of maximizing general happiness. In that point his principle of utility to remove pains is also connected with one of materials of the teachings and classes of AI ethics education. To deduce the possibility of the convergence of AI and ethics education, it is also important to criticize the meaning of AI ethics in 2015 and 2022 revised National Curriculum of moral education and informatics. By enlarging the areas of AI, humans, and ethics, in this paper, ‘AI ethics’ to be taught in convergent classes is to have two contexts of ethical principles that AI is to learn and of the values and attitudes of users who utilize AI. In that course the ethical algorithm to eliminate pains that have seven levels is categorized in two contents of the conception of AI ethics.

What Kuhn tried to develop until his last life was the truth that would be established in a ‘lexicon’. The term lexicon is actually the same as the former term paradigm. Kuhn has critical stance against correspondence theory of truth. He refutes the idea that truth exists regardless of paradigm or lexicon or that truth exists beyond paradigm or lexicon. So, Kuhn’s truth is ‘local’ rather than global. Putnam raises ‘rational acceptability’ as substitute of correspondence theory of truth. According to his opinion, a theory or description could not be true or false as result of their correspondence to fixed reality. Rather, a theory or description corresponds not to fixed reality but to experience which is represented in our certain system of beliefs. Kuhn does not deny the concept of truth itself. He denies only the concept of truth connected with correspondence theory of truth. Putnam avoids using the concept of truth. So, there comes his rational acceptability. We see this his notion of truth in lexicon or truth in paradigm. I see that there are similar aspects between Kuhn’s view on truth within a paradigm or lexicon and Putnam’s rational acceptability. I examine minutely similarities in the two positions.