Albright’s book focuses on a group of Americans who live a life of digital hyper-connectivity. Mostly under age 50, this would include what are called Generation X (born between 1965 and 1979), Millennials (born between 1980 and 1999), and their offspring — some, as we have seen, still infants.
Contemporary circumstances in the United States, both in broader politics, recent protest movements around police brutality, and in the demographics of engineering education, have prompted us to look for new ways to bring theory on gender, race, and class to audiences who would not normally consider it their usual reading.
In 2021, Terri Bookman will become SSIT Administrator, and Heather Hilton, IEEE Publications Staff, will be Editorial/Production Associate for T&S Magazine
An anonymous donor will match any donation to SSIT up to a total of $5K donated before the end of the year. This matching gift would result in a total of $15K to SSIT.
Technological determinism is a myth; there are always underlying economic motivations for emergence of new technologies. The idea that technology leads development is not necessarily true, for example, con-sider AI. It has been a topic of inter-est to researchers for decades, but only recently has the funding caught up, matching the motivation and enabling the development of AI-ori-ented technologies to really take off.
It is “seeing” that is most compelling when analyzing the relationship between architecture and race, especially, for example, when reexamined in literary works such as F. Scott Fitzgerald’s The Great Gatsby. Adrienne Brown, a professor who specializes in American and African American cultural production at the University of Chicago, takes her readers on a journey that recounts seeing racial characteristics in the early period of American skyscraper construction.
RFID, even though it underlies electronic toll collection and other systems we interact with every day and is poised to become practically ubiquitous, is far less conspicuous. Jordan Firth’s A Billion Little Pieces aims to bring RFID into the foreground, giving readers a sense of what the technology is, how it is being and could be used, and how concerned we should be about its implications, especially those regarding privacy.
*Now a Virtual Conference* — IEEE ISTAS 2020 Public Interest Technology (Arizona State University) November 12 – November 14 – The International Symposium on Technology and Society (ISTAS) is the flagship conference of the IEEE’s Society on the Social Implications of Technology- the oldest society and conference of its kind. ISTAS is a multi/inter/trans-disciplinary forum for engineers, policy makers, entrepreneurs, philosophers, researchers, social scientists, technologists, and polymaths to collaborate, exchange experiences, and discuss the social implications of technology.
Ethical diversity refers to “diverse beliefs … as to what are the most ethically appropriate or inappropriate courses of actions,” and takes into account the different values and beliefs people hold [2]. This diversity is and has always been a source of confusion and conflict, from the personal to the international. The answer, however, is to have forums to debate and discuss the ethical choices embedded in everyday life, not algorithms that render the choice being made invisible.
The issue of air pollution is a “wicked problem” — complicated by incomplete knowledge, both within the scientific community and among various stakeholders.
One of the major ways in which the development of self-driving cars has been discussed — the levels of automation drawn up by the Society of Automotive Engineers (SAE) — is misleading. A typology originally developed to provide some engineering clarity now benefits technology developers far more than it serves the public interest.
It is time to move beyond handwringing and nostalgia over our vanished American journalism past. While market forces will sustain some forms of serious reportage, evidence is mounting that creators of journalism in the public interest can’t innovate their way out of a deepening technological crisis.
With techno-feudalism, what is paid and permitted in a digital space is decided by asymmetric power, not mutual consent. Political approval for funding priorities, education programs and regulation all favor Big Tech.
Will We Make Our Numbers? The year 2020 has a majority of the planet asking the simple question: “How do we stay alive? Competition is not working for the long-term sustainability of human and environmental well-being.
As we work to decouple carbon emissions and economic growth on the path to net zero emissions — so-called “clean growth” — we must also meaningfully deliver sustainable, inclusive growth with emerging technologies.
With more than 50% of the global population living in non-democratic states, and keeping in mind the disturbing trend to authoritarianism of populist leaders in supposedly democratic countries, it is easy to think of dystopian scenarios about the destructive potentials of digitalization and AI for the future of freedom, privacy, and human rights. But AI and digital innovations could also be enablers of a Renewed Humanism in the Digital Age.
While many of us hear about the latest and greatest breakthrough in AI technology, what we hear less about is its environmental impact. In fact, much of AI’s recent progress has required ever-increasing amounts of data and computing power. We believe that tracking and communicating the environmental impact of ML should be a key part of the research and development process.
In 2019, millions of young people took to the streets demanding “systems change not climate change.” Their call echoes the words of the Intergovernmental Panel on Climate Change (IPCC) Special Report, which stated that “Limiting global warming to 1.5 °C would require rapid, far-reaching and unprecedented changes in all aspects of society.”
Disruptions can have positive as well as negative impacts on natural and human systems. Among the most fundamental disruptions to global society over the last century is the rise of big data, artificial intelligence (AI), and other digital technologies. These digital technologies have created new opportunities to understand and manage global systemic risks.
Some collective behavior that supports sustainability entails some individual inconvenience: many small acts of environmental kindness require some thought, effort, or consideration.
JOIN SSIT