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.
Why are all of these nations and their assorted consortia heading to Mars? Are they truly exploring to improve the human condition, to expand and share scientific knowledge?
IEEE Transactions on Technology and Society is Open Access for calendar year 2020.
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.
Security threats to smart devices are not just from hacking, but also from a lack of control over data access. The separation of security from convenience makes it difficult for the average user to determine how secure a smart device is.
It is important to discuss both the potential and risks of machine learning (ML) and to inspire practitioners to use ML for beneficial objectives.
Julie Wosk’s My Fair Ladies is an engaging historical account of female automata, with sidelights on dolls, disembodied electronic female voices, masks, make-up, and the sexual and gender implications of efforts to create artificial humans.
Playing a gender role in a society is engagement in a complex system and the list of necessary conditions for success in STEM is arguably longer for girls than for boys.
Mega-platforms have, with the addition of one extra ingredient, combined lock-in and loyalty to create a grave, and perhaps unexpected, consequence. The extra ingredient is psychology; and the unexpected consequence is what might be called digital dependence.
The primary driver for agetech investment appears to be growing fears around caring for aging populations. But initiatives tend to skate over some of the inherent challenges.
Democracy itself is under (yet another) threat from deepfake videos … deepfake videos could be used to create compromising material of politicians: for example, the digitally-altered video2 of U.S. House of Representatives speaker Nancy Pelosi appearing to slur drunkenly was viewed millions of times and tweeted by the U.S. President, and although the video is demonstrably a hoax, the tweet remains undeleted.
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.
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.
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.