The public’s faith in science and technology has never been higher. Computer “apps” that explore things such as the frequency of, and point of origin of, COVID-related Google search terms, and Twitter posts, are being used to trace the progress of the virus and to predict the sites of further outbreaks. The United States has been roiled by the death, at the hands of the police, of George Floyd. Floyd’s killing was captured by an app that has been circulating throughout the globe that has acquired the near iconic power of the crucifixion. With the majority of the American people equipped to make audio–visual recording of police brutality and post them on social media, we expect that crimes such as this will certainly diminish.
https://21stcenturywiener.org/ 22-25 July 2021, Chennai, INDIA N R Narayana Murthy to present Opening Speech on 22 July 2021. Infosys co-founder… Read More
There is huge potential for artificial intelligence (AI) to bring massive benefits to under-served populations, advancing equal access to public services such as health, education, social assistance, or public transportation, AI can also drive inequality, concentrating wealth, resources, and decision-making power in the hands of a few countries, companies, or citizens. Artificial intelligence for equity (AI4Eq) calls upon academics, AI developers, civil society, and government policy-makers to work collaboratively toward a technological transformation that increases the benefits to society, reduces inequality, and aims to leave no one behind.
Public Interest Technology (PIT) is defined as “technology practitioners who focus on social justice, the common good, and/or the public… Read More
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.
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.
The issue of air pollution is a “wicked problem” — complicated by incomplete knowledge, both within the scientific community and among various stakeholders.
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.
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.
Two major forces are shaping the future of human civilization: anthropogenic climate change and the digital revolution. The changing climate is driving systemic shifts that threaten to destabilize the health and wellbeing of humankind and the natural systems on which they depend.
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.
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?
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?
This month I will briefly discuss the work of the IEEE Humanitarian Activities Committee, which I have the honor to chair this year.
The increasing number of dam projects deployed in developing countries over the last two decades that perform poorly illustrate a disconnect between planners, stakeholders, and technological energy solutions of choice.
The ability to grow animal muscle from a few cells into meat for the kitchen is a significant technological advance. The book Clean Meat proposes that beef and other meat be lab-grown.