Ethics in the Future of AI - A Philosophical Perspective for Collaborative Human and Machine Learning Know-What and Know-How

In this paper we argue with pragmatic review of scientific evidence why current approaches to define and evaluate the debatable Artificial General Intelligence claims need fundamental philosophical background, knowledge and skills for specialists in the era of Generative AI to address ethical and logical challenges, particularly with the view of risks and costs associated with their use and developments. The article proposes the Kantian perspective of ethics and its potential in the new AI developments towards Artificial General Intelligence as trustful part of a formal meta-design framework, and fundamentally humanistic ways of implementation and evaluation, with examples of Generative AI impact in academic research misconduct creation, evaluation and dangers, such as plagiarism and decision errors.