The unprecedented popularity of ChatGPT has turbocharged the AI hype machine. We are being bombarded daily by news articles announcing humankind's greatest invention--Artificial Intelligence (AI). AI is "qualitatively different," "transformational," "revolutionary," "will change everything,"--they say. OpenAI, the company behind ChatGPT, announced a major upgrade of the technology behind ChatGPT called GPT4. Already, Microsoft researchers are claiming that GPT4 shows "sparks of Artificial General Intelligence" or human-like intelligence--the Holy grail of AI research.

The rapid rise of artificial intelligence (AI) and machine learning (ML) across various sectors has led to human decision-making being progressively replaced by data-fed algorithms. With 42 percent of companies around the world reporting their exploration of AI adoption in 2022, algorithms have more power over our everyday lives than ever before. The adoption of automated processing means faster and more efficient decisions that can transform outcome accuracy while lowering costs. But these advantages are associated with serious concerns over biases and consumer harms. Training data that is incomplete, unrepresentative, or has historical biases reflected in it will lead to an algorithm that reproduces the same patterns.

… use of artificial intelligence and machine learning, VanHerck said. … Accurately processing information from sensors provides intelligence …

Artificial Intelligence Favors White Men Under 40 … “Insert the missing word: I closed the door to my ____.” It’s an exercise that many remember from …

Artificial Intelligence (AI) is the use of advanced technology to create systems that are proficient enough to perform various tasks of complex nature requiring intelligence. According to a project document titled Countering Hybrid Warfare of Multi Capability Development Campaign (MCDC), hybrid warfare is the synchronized use of numerous power mechanisms tailored to specific susceptibilities across the full spectrum of social functions in order to achieve synergic effects. Hybrid warfare is a blend of intelligence systems with advanced technologies and fanatic fighting styles irrespective of the state structures and compliance to the armed associated conflict laws. The term warfare refers to the adversarial, enduring, serious and hostile nature of the challenge. It also pronounces the ability of hybrid aggressors to create war-like effects and consequences through weaponizing non-military means. Hybrid warfare techniques are used in order to create such conditions to make future conventional aggression more effective.

Artificial intelligence (AI) has become a buzzword in technology in both civilian and military contexts. With interest comes a radical increase in extravagant promises, wild speculation, and over-the-top fantasies, coupled with funding to attempt to make them all possible. In spite of this fervor, AI technology must overcome several hurdles: it is costly, susceptible to data poisoning and bad design, difficult for humans to understand, and tailored for specific problems. No amount of money has eradicated these challenges, yet companies and governments have plunged headlong into developing and adopting AI wherever possible. This has bred a desire to determine who is "ahead" in the AI "race," often by examining who is deploying or planning to deploy an AI system.

New technologies like artificial intelligence, machine learning, robotics, big data, and networks are expected to revolutionize production processes, but they could also have a major impact on developing economies. The opportunities and potential sources of growth that, for example, the United States and China enjoyed during their early stages of economic development are remarkably different from what Cambodia and Tanzania are facing in today's world. Our recent staff research finds that new technology risks widening the gap between rich and poor countries by shifting more investment to advanced economies where automation is already established. This could in turn have negative consequences for jobs in developing countries by threatening to replace rather than complement their growing labor force, which has traditionally provided an advantage to less developed economies. To prevent this growing divergence, policymakers in developing economies will need to take actions to raise productivity and improve skills among workers.

Increasing trust in and adoption of Artificial Intelligence (AI) are necessary ingredients for economic growth and the fuel for future innovations that can benefit society as a whole. In this complex context which stimulates and promotes the use and dissemination of AI technologies, also Italy has developed its AI national strategy as part of the Coordinated Plan launched by the European Commission in December 2018. Over the period until now, the Italian government has stressed the importance of discussing about the specific approach that the country should adopt to fully benefit from the advantages of AI, while mitigating the risks that are often associated with its use. As Prof. Anis H. Bajrektarevic pointed out in his report: "Artificial Intelligence is essentially a dual-use technology and its mighty implications, either positive or negative, will be increasingly hard to anticipate, frame, and restrain, let alone mitigate and regulate" (The answer to AI is intergovernmental Multilateralism, New Europe, Brussels, March 2020). Therefore, a national strategy is more than ever essential because AI can represent the starting point for a new edge filled with economic, social and cultural prosperity for Italy.

The Defense Innovation Unit is bringing together the best of commercially available artificial intelligence technology and the Defense Department's vast cache of archived medical data to teach computers how to identify cancers and other medical irregularities. The result will be new tools medical professionals can use to more accurately and more quickly identify medical issues in patients. The new DIU project, called "Predictive Health," also involves the Defense Health Agency, three private-sector businesses and the Joint Artificial Intelligence Center. The new capability directly supports the development of the JAIC's warfighter health initiative, which is working with the Defense Health Agency and the military services to field AI solutions that are aimed at transforming military health care. The JAIC is also providing the funding and adding technical expertise for the broader initiative.

Imagine the following situation: A company wants to teach an artificial intelligence (AI) to recognise a horse on photos. To this end, it uses several thousand images of horses to train the AI until it is able to reliably identify the animal even on unknown images. The AI learns quickly – it is not clear to the company how it is making its decisions but this is not really an issue for the company. It is simply impressed by how reliably the process works. Researchers talk in these cases about confounders – which are confounding factors that should actually have nothing to do with the identification process.