Fully Automated Luxury … Dancing? (A futuristic conspiracy theory in the making)
Vic Grout, Professor of Computing Futures, Wrexham Glyndŵr University
Download the PDF version: Fully Automated Luxury Dancing – Download Version 1
[Note/Disclaimer: Some of the discussion in this piece is shockingly brief. A limit of 10,000 words was planned and (just) adhered to.]
We’ve encountered Michael Moorcock’s masterpiece, Dancers at the End of Time, before on these pages: both as an example of sci-fi doing what it does best (providing a blank canvas for a bigger discussion) and the problems futurologists have with not seeing key disruptive technology (the Internet, in Moorcock’s case). But, for this post, an entirely different question to ponder: who exactly ARE ‘The Dancers’?
Because answering that puzzle (there aren’t that many clues to go on in the novel itself and obviously it is only a story) takes us to considering problems in (apparently) entirely different fields: environment, politics, economics, etc. (which is the important point really, of course) and may lead us to a view of the future quite at odds with current thinking right across the political spectrum. Specifically, what’s usually wrong with long-term ‘futuristic’ political and economic prophesising? Particularly the very well-intentioned left-wing stuff. What’s the one thing that everything from Karl Marx’s Das Capital to Aaron Bastani’s Fully Automated Luxury Communism appear to take for granted? (Spoiler alert: in simple terms it’s the belief that just because a political/economic system’s crap, it will naturally yield to something better – but we’ll come to that.)
Special Issue Information: Advanced Machine Learning and Data Mining: A New Frontier in Artificial Intelligence Research (Big Data and Cognitive Computing Journal)
Call for Papers
Without data, there is no machine learning (ML), so there is no doubt that big data and ML are inextricably linked. However, much research to date has tended to treat them as separate areas of development. As we are confronted with today’s difficult problems and the wealth of held data continues to grow, it is vital that new, innovative ways of examining, testing, and using big data to produce useful information are both researched/developed and integrated. Whether this be for the social good (health diagnostics, for example) or corporate gain (competitive advantage), given the exponentially increase in both the volume of data and the velocity by which it is generated, the need for the expansion of direct cooperation of mining big data with ML is long overdue. For this Special Issue, as the individual fields of advanced machine learning and advanced data mining are well established, the focus will be specifically on their intersection: the point―or points―at which one aids, needs, or enhances the other.
This new frontier is almost boundless, but will eventually become the norm. Automatically learning and improving from experience without being explicitly programmed gives great opportunities. The quality of the data being used, its speed of acquisition, and the effectiveness of processing are all of vital importance―if Microsoft’s AI chatbot Tay taught us anything at all, it is certainly this.
So what are the chances of a global, on-demand, real-time, publicly-accessible DNA database? (Or what are the chances of stopping it?)
The increasing simplicity and speed with which DNA testing can now be performed has already changed lives. Not only can simple issues of parenthood be resolved (sometimes disproved) quickly – often causing great distress, the gradual expansion and combination of DNA databases has exposed relationships previously unrealised and even potentially compromising in private and working lives.
How far could this go?
I’m editing a special edition of the journal, Information, with the title, ‘The End of Privacy?’
Deadline for manuscript submissions: 1 December 2019
Special Issue Information
We all know how hard technological forecasting can be. The technology itself, even in isolation, can be difficult to predict a few years into the future, but taking into account the wider social, legal, political, economic, environmental and demographic fallout, and throwing in some ethics and morality too, it becomes next to impossible. There’s too much to think about. Whilst some of us might have an idea of where, for example, the Internet of Things might be in five years’ time or, separately, artificial intelligence, robotics and automation, big data analytics, network connectivity, etc., putting it all together into a vision of this fully-automated, AI/big-data-driven, always-on/always-connected world is probably beyond most of us.
Thus the plan here is to focus on one issue that all these factors impact upon, personal privacy, and to pose a fairly simple question: Will it be possible to have personal data (secrets) in the world that future technology will bring us into? What possibilities (benefits and threats) will new technology open us up to? From individuals up to governments and corporations, how easily will information be shared and (how) can it be secured? To what extent can we realistically be protected by legislation? Where will politics and economics be brought to bear? Ultimately, what control will we have? Continue reading