Three Writers in the Field of AI

Seven days ago I made myself the goal of writing about the field of AI for 500 days with the #500daysofAI. I was unsure of whether I would be able to keep this up or not, but I did so far, and it is partly thanks to the wonderful writers who cover this topic.

So I thought I would pitch you three writers I enjoy following and reading. The writers are not ranked in order of importance or relevance I will just give you my current top three pick.

My first pick is someone whoa covers three of my favourite topics in the field of AI namely: ethics, social impact and applications for good.

Firstly Karen Hao is someone I have to mention straight away because she makes it so intelligible, easy to understand, or at least I feel like I understand it better when I read her articles. Perhaps because she has been an applications engineer, data scientist and has written tons of newsletters.

I read on her personal website that she will be speaking around the world hosting conversations at tech conferences this summer. Since I am based in Norway the closest conference to me is World Summit AI in October in the Netherlands, perhaps I will make it over.

MIT Technology Review is a magazine wholly owned by the Massachusetts Institute of Technology, but editorially independent of the university. It was founded in 1899 as The Technology Review, and was re-launched without “The” in its name on April 23, 1998 under then publisher R. Bruce Journey.

Second up is a book that most of you may know about if you’ve ever studied artificial intelligence in a university module. 1422 schools worldwide have adapted AIMA and it is considered the standard text in the field of artificial intelligence.

Secondly Peter Norvig is a Director of Research at Google Inc; previously he directed Google’s core search algorithms group. NASA’s senior computer scientist. He received the NASA Exceptional Achievement Award in 2001. He has taught at the University of Southern California and the University of California at Berkeley, from which he received a Ph.D. in 1986 and the distinguished alumni award in 2006.

Thirdly Stuart J. Russel is incredibly insightful. I would also recommend one of his recent talks on a very important topic: filter bubbles and the future of artificial intelligence. Otherwise someone explained him better than I can do:

His research covers a wide range of topics in artificial intelligence including machine learning, probabilistic reasoning, knowledge representation, planning, real-time decision making, multitarget tracking, computer vision, computational physiology, global seismic monitoring and philosophical foundations. He also works for the United Nations, developing a new global seismic monitoring system for the nuclear-test-ban treaty. His current concerns include the threat of autonomous weapons and the long-term future of artificial intelligence and its relation to humanity.
-Excerpt from his TED-speaker profile

Check out their Google Scholar pages:

I apologise somewhat for fronting established writers, however I currently need to understand the surface-level (which is hard enough).

Articles and books introducing the subject-area as well as comprehensible summaries of current science is currently where I am at.

So with that day seven of #500daysofAI is over and out.

If you have writers to recommend me please do so in the comments or by sending me a personal message.

What is #500daysofAI?

I am challenging myself to write and think about the topic of artificial intelligence for the next 500 days with the #500daysofAI. It is a challenge I invented to keep myself thinking of this topic and share my thoughts.

This is inspired by the film 500 Days of Summer where the main character tries to figure out where a love affair went sour, and in doing so, rediscovers his true passions in life.

I hope you stick with me for this journey and tell me what you think!

AI Policy and Ethics at Student at University of Copenhagen MSc in Social Data Science. All views are my own.

AI Policy and Ethics at Student at University of Copenhagen MSc in Social Data Science. All views are my own.