Technology for Big Data, and its brother-in-arms Machine Learning, is at the root of, and is the facilitator of, deliberate string-pulling design choices. These design choices are made by people, and so the question actually becomes, do the design choices enabled by Big Data and Machine Learning have the capacity to alter, diminish and perhaps actually “destroy” what it means to be fundamentally human.
Our authors identified risks that can result in diminished humanity, if technology is designed or delivered irresponsibly. Our community addressed much of what it means to be human, in the context of complex and converging processes.
Parents have no idea that lurking behind their kids’ screens and phones are a multitude of psychologists, neuroscientists, and social science experts, who use their knowledge of psychological vulnerabilities to devise products that capture kids’ attention for the sake of industry profit.
Holmes’s idea of inventing a cheap, small, fast, reliable blood-testing system to creatively destroy most of the world’s existing infrastructure for blood tests ran into big problems early on. But with her chutzpah, persuasiveness, and eventually with the help of outright obfuscations and lies, Holmes kept Theranos going until a Wall Street Journal investigative reporter named John Carreyrou responded to a lead by a health-care blogger that something fishy was going on.
The IEEE Society on the Social Implications of Technology (SSIT) are proud to announce the Society’s second refereed publication, the IEEE Transactions on Technology and Society (IEEE-TTS).
Healthcare is one of the sectors with the highest expectations for positive impacts of the 4.0 revolution. Healthcare systems must deal with the challenge of providing care without raising costs, given the fiscal constraints of the governments that provide such services to the population.
The IEEE SSIT Technology and Society (T&S) Magazine has been published for decades. The SSIT Board of Governors is very… Read More
“From today, painting is dead!” is said to have been proclaimed by the French painter Paul Delaroche in 1839 after seeing his first daguerreotype. His was an early name on the list of people who have made fools of themselves when prognosticating a future resulting from a new medium or invention. Motivated by either techno-euphoria or pessimism they have become famously wrong.
As populations increase, the volume of man and materials increases [1]. Demand can exceed capacity.
I am hopeful that our younger readership will learn a bit about less known American history from the brief analogy I utilized, and therefore will join us in honoring all such men as George Washington Carver and their marvelous contributions to society! Thank you to Mr. Gadeken for his comments.
“Nudging” is the term used in the IEEE standards work on Ethics for AI Design. An AI system that applies deep learning to manipulating human decisions, with detailed analysis of the targeted individual, is a disturbing potential that must affect our trust in both the systems and those that direct their applications.
Sjöström argues that NFC chips are a solution in search of a problem, have limited utility, are less efficient than alternatives, and pose significant health risks.
Why would anyone own, or even need to own, a driverless car, if they do not get to drive it? Which in turn begs the question, if the central tenet of the personal car ownership model (i.e., ownership) no longer holds, then what is the replacement business model?
It is essential not only to estimate the sales potential of driverless cars, but also to debate how they will affect the society and cities’ livability.
Meeting traveler’s expectations, and properly exploiting available transport resources, is becoming a more and more complex task.
The role of driverless cars in future transport systems remains debatable, in terms of their potential to replace other transport modes or have a novel, unique, and complementary functionality.
In the age of driverless cars, rail — as a means of transportation that takes many people from one central station to another central station — has lost justification for its existence.
I am Alba Victoria
A biopsychologist highly interested in conservation
Dedicated to engaging science communication
Who is simply trying to find more sustainable ways
To support our current and future generations
Discrimination is “embedded in computer code and, increasingly, in artificial intelligence technologies that we are reliant on, by choice or not.”
Transition phases are often arduous and chaotic. When we read about positive outcomes, we can fail to recognize the formidable gap between the initial disruption, and eventual transformation.
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