I have been keeping an eye on the hype & hope around artificial intelligence (AI), especially:| Harold Jarche
Month: December 2022 | jarche.com
In the book, Only Humans Need Apply (2016), the authors identify five ways that people can work with machines. They call it ‘stepping’. We are seeing an increasing need to do what they call ‘stepping in’ or using machines [and software] to augment work. In GPT-3 through a glass darkly I used the McLuhans’ media tetrad to examine this form of machine learning, which is all over the media today.| Harold Jarche
A seminal moment in my work came when I saw my first web page on a computer at Montreal’s CRIM in 1994. I finally saw computers as things that connect people around the globe. From here I completed a Master’s degree focusing on how people learn at work with information technology.| Harold Jarche
I wrote the next two paragraphs in a blog post last year — we have met the enemy.| Harold Jarche
Are we moving into a post-job economy? Can the concept of the job continue to be the primary way that people work? Building ways to constantly change roles can be one way to get rid of the standardized job, which has decreasing usefulness in a creative, networked AI-assisted economy. We should be preempting automation by identifying what routine work should be automated as quickly as possible, so that people can focus on what machines cannot do — being curious, creative, empathetic, passion...| Harold Jarche
Understanding machine learning (ML), generative pre-trained transformers (GPT), and large language models (LLM) has become a part-time job for me. Not only is there a lot of information and discussion, but a wide range of opinions. The topic of ‘AI’ constantly pops up in professional meetings. Researcher danah boyd discusses the difference between the perspectives of automation vs. augmentation as ‘AI’ develops.| Harold Jarche