Contemporary and emerging digital technologies are leading us to question the ways in which humans interact with machines and with complex socio-technical systems. The new dynamics of technology and human interaction will inevitably exert pressure on existing ethical frameworks and regulatory bodies.
Somehow at the heart of sci-fi is returning power to the people who almost always regain control before things get completely out of hand. But we learn that our freedom comes at a cost. The reassuring aspect of Maynard’s work is that justice prevails, despite the ominous lurking of some technological beast that is waiting to be unleashed.
Social media have been seen to accelerate the spread of negative content such as disinformation and hate speech, often unleashing a reckless herd mentality within networks, further aggravated by malicious entities using bots for amplification. So far, the response to this emerging global crisis has centered around social media platform companies making reactive moves
As technology pervades all aspects of our existence, and Artificial Intelligence and machine learning systems become commonplace, a new era of human-computer interaction is emerging that will involve directing our focus beyond traditional approaches, to span other intricate interactions with computer-based systems.
It is important to define autonomy in technology, which is not the same as automation. Automated systems operate by clear repeatable rules based on unambiguous sensed data. Autonomous systems take in data about the unstructured world around them, process that data to generate information, and generate alternatives and make decisions in the face of uncertainty.
Mann and Toles crystallize for us climate change denialism, principally in the United States, over the last generation. The core of this denial results from the confluence of several trends deeply embedded in the American culture.
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.
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