With the advancement of science and technology, the philosophy of creativity has undergone significant reinterpretation. This paper investigates contemporary research in the fields of psychology, cognitive neuroscience, and the philosophy of creativity, particularly in the context of the development of artificial intelligence (AI) techniques. It aims to address the central question: Can AI exhibit creativity? The paper reviews the historical perspectives on the philosophy of creativity and explores the influence of psychological advancements on the study of creativity. Furthermore, it analyzes various definitions of creativity and examines the responses of naturalism and cognitive neuroscience to the concept of creativity.

Artificial intelligence (AI) systems capable of generating creative outputs are reshaping our understanding of creativity. This shift presents an opportunity for creativity researchers to reevaluate the key components of the creative process. In particular, the advanced capabilities of AI underscore the importance of studying the internal processes of creativity. This paper explores the neurobiological machinery that underlies these internal processes and describes the experiential component of creativity. It is concluded that although the products of artificial and human creativity can be similar, the internal processes are different. The paper also discusses how AI may negatively affect the internal processes of human creativity, such as the development of skills, the integration of knowledge, and the diversity of ideas.

Poor management of artificial intelligence projects in the Department of Defense could erode the United States' competitive advantage in the emerging technology, the Defense Department's watchdog warned in a July 1 report. The DoD inspector general suggested the Joint Artificial Intelligence Center, established to facilitate the adoption of artificial intelligence tools across the department, take several steps to improve project management, including determining a standard definition of artificial intelligence, improving data sharing and developing a process to accurately track artificial intelligence programs. The JAIC missed a March 2020 deadline to release a governance framework. It still plans to do so, according to the report, but that date is redacted in the report. The inspector general started the audit to determine the gaps and weaknesses in the department's enterprise-wide AI governance, the responsibility of the JAIC.

One of the downsides to the recent revival and popularity of Artificial Intelligence (AI) is that we see a lot of vendors, professional services firms, and end users jumping on the AI bandwagon labeling their technologies, products, service offerings, and projects as AI products, projects, or offerings without necessarily being the case. On the other hand, there isn't a well-accepted delineation between what is definitely AI and what is definitely not AI. This is because there isn't a well-accepted and standard definition of what is artificial intelligence. Perhaps it is best to start with the overall goals of what we're trying to achieve with AI, rather than definitions of what AI is or isn't. Since the beginning of the AI in the 1950s, the goals of intelligent systems are those that mimic human cognitive abilities.

One of the downsides to the recent revival and popularity of Artificial Intelligence (AI) is that we see a lot of vendors, professional services firms, and end users jumping on the AI bandwagon labeling their technologies, products, service offerings, and projects as AI products, projects, or offerings without necessarily being the case. On the other hand, there isn't a well-accepted delineation between what is definitely AI and what is definitely not AI. This is because there isn't a well-accepted and standard definition of what is artificial intelligence. Perhaps it is best to start with the overall goals of what we're trying to achieve with AI, rather than definitions of what AI is or isn't. Since the beginning of the AI in the 1950s, the goals of intelligent systems are those that mimic human cognitive abilities.

Just how worried should we be about killer robots? Amidst all the talk about how artificial intelligence (AI) is threatening society, some experts believe AI shouldn't be feared. Here's why we can embrace the power of technology. Artificial intelligence (AI) is everywhere. AI recommends movies and restaurant choices, prevents cars from crashing, books flights, tracks taxis, identifies financial fraud and creates playlists to work out to.