Serendipity no algorithm college dating site
“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).
He replied: “‘If every algorithm suddenly stopped working, it would be the end of the world as we know it.’ (Pedro Domingo’s Fact: We have already turned our world over to machine learning and algorithms.
The question now is, how to better understand and manage what we have done? And most importantly for those who don’t create algorithms for a living – how do we educate ourselves about the way they work, where they are in operation, what assumptions and biases are inherent in them, and how to keep them transparent?
“To create oversight that would assess the impact of algorithms, first we need to see and understand them in the context for which they were developed.
Some are calling this the Age of Algorithms and predicting that the future of algorithms is tied to machine learning and deep learning that will get better and better at an ever-faster pace. Analysts like Aneesh Aneesh of Stanford University foresee algorithms taking over public and private activities in a new era of “algocratic governance” that supplants “bureaucratic hierarchies.” Others, like Harvard’s Shoshana Zuboff, describe the emergence of “surveillance capitalism” that organizes economic behavior in an “information civilization.” To illuminate current attitudes about the potential impacts of algorithms in the next decade, Pew Research Center and Elon University’s Imagining the Internet Center conducted a large-scale canvassing of technology experts, scholars, corporate practitioners and government leaders.
Some 1,302 responded to this question about what will happen in the next decade: The non-scientific canvassing found that 38% of these particular respondents predicted that the positive impacts of algorithms will outweigh negatives for individuals and society in general, while 37% said negatives will outweigh positives; 25% said the overall impact of algorithms will be about 50-50, positive-negative.
“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.