Tag: Artificial Intelligence

Sviluppo sostenibile, l’intelligenza artificiale ci aiuta a centrare il modello giusto (Valter Fraccaro, Agenda Digitale)

Per migliorare l’equilibrio del pianeta, è giunta l’ora di abbracciare un modello di sviluppo sostenibile e l’intelligenza artificiale ci può essere una grande alleata. Dobbiamo in particolare imparare...

Cina: le linee guida etiche per l’uso dell’intelligenza artificiale (Serena Nanni, Agenda Digitale)

La Cina ha redatto le linee guida dell’intelligenza artificiale. Al centro i diritti degli utenti, la coesione nazionale, l’armonia e l’interesse pubblico. Le differenze...

How the Chinese Military is Adopting Artificial Intelligence (Ryan Fedasiuk, Jennifer Melot, Ben Murphy, CSET)

This report examines nearly 350 artificial intelligence-related equipment contracts awarded by the People’s Liberation Army and state-owned defense enterprises in 2020 to assess how...

Winners and losers in the fulfilment of national artificial intelligence aspirations (Samar Fatima, Gregory S. Dawson, Kevin C. Desouza, and James S. Denford, Brookings)

The quest for national AI success has electrified the world—at last count, 44 countries have entered the race by creating their own national AI...

Building a case for decentralised AI ethics (James Brusseau, ORF)

The idea behind decentralised Artificial Intelligence (AI) ethics is simple: Instead of a single regulating authority, masses of individuals actively direct technologies through their...

Magnanimous machines: Why AI work should work for people and not the other way around (Neil Watson, ORF)

Over a century ago, GK Chesterton observed that the greatest mistake of civilisation is that  we try to adapt human beings to suit the needs of...

The machine’s rage against the planet (Abhishek Gupta, ORF)

Marc Andreessen famously said that software is ‘eating’ the world, and now we have AI eating up software. However, in this original formulation, the ‘world’ represented the economic...

The wellness industry’s risky embrace of AI-driven mental health care (Alexandrine Royer, Brookings)

If you need to treat anxiety in the future, odds are the treatment won’t just be therapy, but also an algorithm. Across the mental-health industry,...

The DOD’s Hidden Artificial Intelligence Workforce. Leveraging AI Talent at the U.S. Department of Defense (Diana Gehlhaus, Ron Hodge, Luke Koslosky, Kayla Goode, Jonathan...

This policy brief, authored in collaboration with the MITRE Corporation, provides a new perspective on the U.S. Department of Defense’s struggle to recruit and...

Misinformation Is About to Get So Much Worse (Saahil Desai, Defense One)

For years now, artificial intelligence has been hailed as both a savior and a destroyer. The technology really can make our lives easier, letting...

Comments to Canada’s Department of Innovation, Science and Economic Development on a Modern Copyright Framework for AI and the Internet of Things (Nigel Cory,...

Intellectual property (IP) is based on the idea that those who combine the spark of imagination with the grit and determination to see their...

AI Education in China and the United States. A Comparative Assessment (Dahlia Peterson, Kayla Goode, Diana Gehlhaus, CSET)

A globally competitive AI workforce hinges on the education, development, and sustainment of the best and brightest AI talent. This issue brief compares efforts...

Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report (Stanford University)

In the five years since we released the first AI100 report, much has been written about the state of artificial intelligence and its influences...

The geography of AI. Which cities will drive the artificial intelligence revolution? (Mark Muro and Sifan Liu, Brookings)

AI R&D and new firms are rising as shares of the U.S. total Share of AI-related projects in federal R&D expenditures at U.S. colleges and...

Getting from commitment to content in AI and data ethics: Justice and explainability (John Basl, Ronald Sandler, and Steven Tiell, Atlantic Council)

There is widespread awareness among researchers, companies, policy makers, and the public that the use of artificial intelligence (AI) and big data raises challenges...

Future of Testing in Education: Artificial Intelligence (Laura Jimenez and Ulrich Boser, CAP)

Despite the often-negative discussion about testing in schools, assessments are a necessary and useful tool in the teaching and learning process. This is especially...