The 37% Rule, optimal stopping and other algorithmic conclusions are evidence-based guides that enable us to use wisdom and mathematically verified steps to make better decisions. In a technological recapitulation of what spiritual teachers have been saying for centuries, our things are demonstrating that everything is – or can be – connected to everything else. Our systems do not have, and we need to build in, what David Gelernter called ‘topsight,’ the ability to not only create technological solutions but also see and explore their consequences before we build business models, companies and markets on their strengths, and especially on their limitations.” Chudakov added that this is especially necessary because in the next decade and beyond, “By expanding collection and analysis of data and the resulting application of this information, a layer of intelligence or thinking manipulation is added to processes and objects that previously did not have that layer.
The expanding collection and analysis of data and the resulting application of this information can cure diseases, decrease poverty, bring timely solutions to people and places where need is greatest, and dispel millennia of prejudice, ill-founded conclusions, inhumane practice and ignorance of all kinds.Our algorithms are now redefining what we think, how we think and what we know.“Algorithms are a useful artifact to begin discussing the larger issue of the effects of technology-enabled assists in our lives. Like fish in a tank, we can see them swimming around and keep an eye on them.“Algorithms are the new arbiters of human decision-making in almost any area we can imagine, from watching a movie (Affectiva emotion recognition) to buying a house (Zillow.com) to self-driving cars (Google).“The main positive result of this is better understanding of how to make rational decisions, and in this measure a better understanding of ourselves.
After all, algorithms are generated by trial and error, by testing, by observing, and coming to certain mathematical formulae regarding choices that have been made again and again – and this can be used for difficult choices and problems, especially when intuitively we cannot readily see an answer or a way to resolve the problem.
Deloitte Global predicted more than 80 of the world’s 100 largest enterprise software companies will have cognitive technologies – mediated by algorithms – integrated into their products by the end of 2016.
As Brian Christian and Tom Griffiths write in , algorithms provide ‘a better standard against which to compare human cognition itself.’ They are also a goad to consider that same cognition: How are we thinking and what does it mean to think through algorithms to mediate our world?
[See “About this canvassing of experts” for further details about the limits of this sample.] Participants were asked to explain their answers, and most wrote detailed elaborations that provide insights about hopeful and concerning trends.
Respondents were allowed to respond anonymously; these constitute a slight majority of the written elaborations.
The material people see on social media is brought to them by algorithms.