The application of artificial intelligence and analysis to understanding and generating humorous content, such as jokes, puns, and humanly amusing stories is referred to computational humor. These area of AI development can also be called computational comedy. Of course, the first thing that comes to mind is the relative oxymoronic ring to computational comedy. Isn't comedy by its nature instinctive and more closely aligned with reaction than with computation? Maybe I just don't get it!

In terms of human memory, acquisition is the process of experiencing and storing new knowledge in memory. Memory consolidation refers to the process that occurs when a memory becomes permanent.  Lastly, recall is the process of retrieving previously stored memories. According to researchers, while acquisition and recall occur while awake, memory consolidation occurs in people when they are asleep.

Through continuous learning, people can stay relevant during periods of change, stay intellectually curious, adapt and improvise to different circumstances and continue to grow as human beings. Curiosity and the desire to explore new and different things throughout a person's life, probably keeps them young!

When personalization of news and information reaches a level where people are primarily exposed to information that reinforces their own underlying perspectives, a media echo chamber has been established. Fundamentally, individuals get repeatedly exposed to information that reinforces their own opinions versus presenting a diverse universe of information. If you get to pick what news you want to hear based on being aligned with the news and feeling good about the news, opinions get reinforced versus being balanced.

It is significant to consider that AI models are trained on large amounts of data from the internet which may contain biases and reflects the biases of society at large. The model builder or AI trainer has the ultimate oversight in the inherent logic and perhaps perspectives that the AI inherits. I wonder if once something is "learned" by an AI model, how difficult it may be to "unlearn" if it is indeed a bias or trait not originally intended to be developed.