Algorithmic critical intelligence represents a fundamental dimension in the digital age in which we live, characterized by the growing presence of algorithms in decision-making processes and in the automation of activities. Reflecting on this form of critical intelligence involves considering how algorithms influence and shape different aspects of our daily lives, as well as understanding the risks, limitations, and ethical implications of algorithmic decisions. Critical intelligence and artificial intelligence are, if well analysed, two distinct but complementary concepts that can increasingly influence each other in different contexts whose relationship must be understood. In particular, referring to Critical Intelligence as the human ability to critically evaluate information, discerning between what is reliable and what is not, and making judgments based on evidence and reasoning; for this reason, this intelligence involves complex cognitive processes such as reflection, analysis, synthesis and evaluation from which it becomes fundamental in the processes of making informed decisions and effectively addressing the challenges of both daily life and society. For its part, artificial intelligence is thought to refer to the ability of machines to imitate human intelligence and carry out activities that normally require human intervention, such as reasoning, problem solving, pattern recognition and learning. For this reason, we can think that these two intelligences can and must work together to promote a deeper understanding and better management of the challenges and opportunities offered by digital technology and data analysis, with a view to the development of more ethical technological, responsible and sustainable.
Algorithmic Critical Intelligence and Artificial Intelligence: Educating in and to Digital Transformation
Giorgio Poletti
2024
Abstract
Algorithmic critical intelligence represents a fundamental dimension in the digital age in which we live, characterized by the growing presence of algorithms in decision-making processes and in the automation of activities. Reflecting on this form of critical intelligence involves considering how algorithms influence and shape different aspects of our daily lives, as well as understanding the risks, limitations, and ethical implications of algorithmic decisions. Critical intelligence and artificial intelligence are, if well analysed, two distinct but complementary concepts that can increasingly influence each other in different contexts whose relationship must be understood. In particular, referring to Critical Intelligence as the human ability to critically evaluate information, discerning between what is reliable and what is not, and making judgments based on evidence and reasoning; for this reason, this intelligence involves complex cognitive processes such as reflection, analysis, synthesis and evaluation from which it becomes fundamental in the processes of making informed decisions and effectively addressing the challenges of both daily life and society. For its part, artificial intelligence is thought to refer to the ability of machines to imitate human intelligence and carry out activities that normally require human intervention, such as reasoning, problem solving, pattern recognition and learning. For this reason, we can think that these two intelligences can and must work together to promote a deeper understanding and better management of the challenges and opportunities offered by digital technology and data analysis, with a view to the development of more ethical technological, responsible and sustainable.I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


