RELATED LINK: 10 SBD Weekly Bounty for Best AI Article of the Week (Additional 1 SBD Bounties for links)
Here are the best five artificial intelligence articles that I've seen in the past week:
An excellent overview of the current state-of-the-art sex robots and sex tech, as well as the ethical and societal implications of the technology like robots as sex workers, the effect of technology on sexual intimacy and relationships and, of course, the effect on sex crimes and other societal impacts. Lots of fun statistics in the section "Would people have sex with a robot". The Foundation for Responsible Robotics is yet another robot control organization created by Noel Sharkey but this report is far less blatantly negative than is his norm.
An excellent overview of the core issues (data & biases, accountability & trust, AI usage & the control problem, AI safety & catastrophic risks). As the author writes "This article does not want to be a guide for ethics for AI or setting the guidelines for building ethical technologies. It is simply a stream of consciousness on questions and problems I have been thinking and asking myself, and hopefully, it will stimulate some discussion."
His conclusion is awesome -- starting with "absurd as it might seem, I believe ethics is a technical problem. Writing this post, I realized how much little I know and even understand about those topics. It is incredibly hard to have a clear view and approach on ethics in general, let’s not even think about the intersection of AI and technology. I didn’t even touch upon other questions that should keep AI experts up at night (e.g., unemployment, security, inequality, universal basic income, robot rights, social implications, etc.)" . . . .
Describes how the new technology of Generative Adverserial Networks (GANs) have opened the Pandora's Box of forgery.
The fact that most machine learning algorithms are analysis-resistant "black-boxes" is cause for great concern. This article and video explains deep learning networks and how we are finally discovering effective methods of performing at least some analysis on them.
Although the article never mentions AI explicitly (other than a machine learning toss-away comment that actually clearly indicates how much AI *is* being used) -- problem-solving, adaptive systems and, perhaps most importantly, collective computation are what ethical strong AI is necessarily going to be all about. There are also all sorts of cool facts in here. Particularly important issues include . . . .
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