Tag: AI

The Earth 3 podcast will explore Earth 1 through the lens of Science, Technology, the Environment, Ethics, and Law, or STEEL for short.

ISTAS 2024 in Puebla, Mexico, has officially opened!
Tom Coughlin 2024 IEEE President gave the opening address this morning September 18, 2024, via recorded feed.
Virtual registration is still available for attendees outside of Mexico.

There is a clear parallel between conceptualizations of comedy clubs and AI labs as masculine spaces, and jokes and technology as for men. As Sutko writes, [AI] technology often gets equated with “men’s power,” while women and girls are portrayed as less technologically skilled and less interested than their male counterparts. Such stereotypes can contribute to the gender gap in women’s participation in related fields.

While AI-generated responses can initially seem impressive, LLM and AI generated texts suffer from multiple risks, including hallucination and inaccuracy. 

Spain’s Comunitat Valenciana (Valencian Community) (Figure 1) has a rich agricultural history, with long traditions of resilience and innovation. This tradition,…  Read More

The articles in this special issue focus on the connected nature of the SDGs and the need to address them using community-based approaches and span essential steps for widespread SDG attainment, including planning, implementation, and monitoring.

At the Recent international negotiations on climate change in Dubai in 2023, the potential for artificial intelligence (AI) to play a critical role in addressing climate challenges was recognized through the initiative “AI for Climate Action (#AI4ClimateAction).”

The term “explainability” is a multifaceted concept within the realm of computer science. In essence, it encompasses various aspects and capacities of a system to effectively convey its internal processes, decision-making, capabilities, and constraints to its users. Providing explanations can notably enhance initial trust, especially when trust is measured as a multidimensional concept that includes aspects such as competence, benevolence, integrity, intention to return, and perceived transparency.

Generative artificial intelligence (AI) is rapidly transforming people’s access to and attitudes toward knowledge. It is an extremely powerful technology, but this transformation presents numerous social, environmental, political, and educational considerations.

Amid a global labor force crisis, we cannot turn a blind eye to technological solutions. However, we must approach them with caution and prudence to avoid exacerbating existing biases.

What role does and can AI play in us being able to enjoy security in our places and spaces? Perhaps we could design technology-enabled spaces for the purpose of strengthening the community and empowering community action.

In our time, it is not mythologies or idols in the place of God, but  a new divinity, an “AI-centric” God, which according to some in the transhumanist movement, advocates for the enhancement of the human condition in terms of both its longevity and cognition. The rubrics of a divinatory algorithm would be shaped dependent on one’s philosophical or religious orientation or even all of the wisdom literature merged together.

Professor Katina Michael of Arizona State University in the School for the Future of Innovation in Society discusses ChatGPT and its implications. From The List Show TV.

Having a philosophical road map to what is required, might help those with skills to design intelligent machines that will enable and indeed promote human flourishing.

One can see the emergence of ever more efficient forms of intelligence as networked self-similar patterns that are embedded in the universe at its core, driven as they are by the sustained maximization of entropy as a causal force. As a maximizer of future freedom of action, the very existence of gravity can be viewed as a form of embedded, purposeful, goal-directed form of intelligence.

This special issue published in cooperation with IEEE Transactions on Technology and Society (December 2021) is dedicated to examining the governance of artificial intelligence (AI) through soft law. These programs are characterized by the creation of substantive expectations that are not directly enforced by government.

AI4Eq — Mark your calendars for Wednesday, Oct 27 from 9 AM – 5 PM (EDT)

An element of the expansion of digital technologies is a shift in Artificial Intelligence (AI) technology from research laboratories into the hands of anyone with a smartphone. AI powered search, personalization and automation are being deployed across sectors, from education to healthcare, to policing, to finance. Wide AI diffusion is then reshaping the way organizations, communities and individuals’ function. The potentially radical consequences of AI have pushed nation states across the globe to publish strategies on how they seek to shape, drive and leverage the disruptive capabilities offered by AI technologies to bolster their prosperity and security.

Digital discrimination is becoming a serious problem, as more and more decisions are delegated to systems increasingly based on artificial intelligence techniques such as machine learning. Although a significant amount of research has been undertaken from different disciplinary angles to understand this challenge—from computer science to law to sociology— none of these fields have been able to resolve the problem on their own terms. We propose a synergistic approach that allows us to explore bias and discrimination in AI by supplementing technical literature with social, legal, and ethical perspectives.

Just as the “autonomous” in lethal autonomous weapons allows the military to dissemble over responsibility for their effects, there are civilian companies leveraging “AI” to exert control without responsibility.

And so we arrive at “trustworthy AI” because, of course, we are building systems that people should trust and if they don’t it’s their fault, so how can we make them do that, right? Or, we’ve built this amazing “AI” system that can drive your car for you but don’t blame us when it crashes because you should have been paying attention. Or, we built it, sure, but then it learned stuff and it’s not under our control anymore—the world is a complex place.