Dr Babak Beheshti, Director, IEEE Region 1 provided a keynote presentation during IEEE ISTAS 2019 on 16 November…  Read More

Call for Expressions of Interest to Host SSIT Conferences IEEE SSIT organises, co-organises and sponsors conferences focused on technology, society…  Read More

Call for Nominations to SSIT Leadership Roles The IEEE Society on Social Implications of Technology (SSIT) is an active IEEE…  Read More

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.

Katina Michael, professor in the School for the Future of Innovation in Society and School of Computing, Informatics and Decision Systems Engineering at Arizona State University, speaks with Kimberli J. Lewis

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.

The IEEE Society for Social Implications of Technology (SSIT) invites you to participate in its flagship event, the 2019 IEEE International Symposium on Technology and Society.  IEEE ISTAS 2019 takes place 15- 16 November in Boston MA, hosted by the School of Engineering of Tufts University, on its Medford Campus.

An anonymous donor has issued a challenge to match donations dollar for dollar up to US$10,000 by December 31, 2019.

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.

Does access to science communication inevitably lead to greater public understanding of science, its discoveries, and their impact? Does access to online data sets inevitably lead to full comprehension of available information by scientists?

Katina Michael, Director of the Center for Engineering, Policy and Society at Arizona State University speaks at TEDxASU 2019 about…  Read More