Responsible Generative AI
Science , Technology and other subjects . After all , humans will need to be aware or at least have some general knowledge on the subject to properly prompt the GenAI and validate any data provided by it given the Bias and Hallucination issues .
GenAI , with its ability to provide data on demand , will shift the focus of learning from memorization of facts to the general understanding of concepts and ideas .
Using Geography as an example , it will no longer be required to memorize countries , capitals , geographical locations , etc . An overall understanding of the concepts will be enough to prompt the GenAI for answers .
5.2 IMPACT ON VALUE OF EDUCATION AND SKILLS
There is no doubt that GenAI will replace routine or repetitive tasks via automation . However , for those tasks requiring critical thinking or complex problem solving it is evident that the human factor will still be needed and skills like decision making , interpersonal skills , creativity and emotional intelligence will be more important than ever and will be used together with GenAI . This will increase the importance of soft skills like communication , interpersonal skills , emotional intelligence will be more important than ever and at par with STEM skills .
5.3 EVOLUTIONARY IMPACT ON HUMAN COGNITIVE ABILITIES
If we look back at the historical evolution of human society , the level of our cognitive skills and thinking has evolved and transformed as time progresses . Knowledge that is expressed and transferred orally got revolutionized by methods of scribbling down through notations . The printing press and copying machines further changed the way knowledge and information are stored , expressed , and conveyed or transferred .
While memorization was a big part of early knowledge transmissions ( from mouth to ear ), its significance was reduced with the proliferation of the ability to make multiple copies of written matter . It reduced the reliance on memory power as one could refer to written copies .
It was beneficial too – it helped disseminate knowledge to the masses easily , allowing the scholars could focus on the most essential things . In a similar fashion , the capabilities of GenAI are taking over much knowledge-intensive functions of decision making , question-answering , summarizing / interpreting of large sets of data , the need of same skills gets lower importance while it enables the experts to operate at a higher level – to be more and more accurate and productive . A doctor who probably was spending hours with a patient can now see multiple patients during the same time with an AI assistant .
Journal of Innovation 29