Tag: AI

If we outsource decision-making to AI and spend all our time chatting with chatbots rather than with fellow humans, we are unlikely to develop the civic skills that we need for coordinated collective action.

The 2025 IEEE International Symposium on Technology and Society (ISTAS25) themed “AI Evolution and Revolution” was held September 10-12 at Santa Clara University, Santa Clara, CA, U.S.A..

The ISTAS25 conference AI EVOLUTION & REVOLUTION at Santa Clara University, September 10-12 will explore the far-reaching implications of technological advancements on our society.

Access IEEE Transactions on Technology and Society (TTS) Volume 6, Issue 3, 2025 – Special Issue on on AI, Empathy…  Read More

Dr. Francesca Rossi presented “AI Ethics: from Principles to Practice” as a SSIT Webinar on 10 July 2025. Click here…  Read More

Check out this AI Resources Hub expanding on topics from ISTAS 2025.

We examine social media’s profound influence, delving into its effects on self-esteem, media consumption habits, and exposure to targeted marketing.

Over 150 scholars and practitioners from industry, academia, government, and civil society gathered at IEEE ETHICS 2025 to examine questions of ethics and social justice in artificial intelligence and other emerging technologies.

Who knows how the future may materialize? As Yogi Berra also observed, “It is difficult to make predictions, especially about the future!”

The process of advancing AI technology and making AI-generated content attractive to and available to the general public is comparable to that of the printing press and its pivotal influence on newspapers and journalism.

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.