Artificial Intelligence

: Silvia S.; > Artificial Intelligence; > 07 February 2024

In 2024, the cyber threat landscape is evolving rapidly, with artificial intelligence playing an increasingly central role in both defense and offensive cyber.

: Silvia S.; > Artificial Intelligence; > 15 January 2024

artificial intelligence, ethic, future, antropocene, distopia

The advent of Artificial Intelligence (AI) has brought about a tremendous technological revolution, enabling the automation of complex tasks, the creation of machine learning algorithms, and progress in various fields. However, the rapid development of AI and its increasing capacity to replace humans in various contexts raise important ethical and philosophical questions concerning the very nature of humanity and our relationship with technology.

One of the most evident ethical implications of AI concerns the future of human labor. Recently, even the Prime Minister Meloni has raised the socio-ethical issue that accelerated use of AI tools could turn into a risk. Worried reactions are not few, even among those who have closely followed the development of neural networks underlying the most complex artificial intelligences. Many ethical doubts and a sort of Pandora's syndrome in predicting an increasingly cyberpunk and hostile future for humans have taken hold, even among minds that have worked closely with the latest technologies that revolutionized the world in 2023.

: Miki G.; > Artificial Intelligence; > 09 January 2024

artificialintelligence, future, cybersecurity, darktrace

Cybersecurity has become one of the most urgent and complex challenges of our time, with increasingly sophisticated threats endangering the security of information and sensitive data. In 2024, the response to this growing threat is the integration of Artificial Intelligence (AI) into cybersecurity strategies, leading to innovative and successful solutions.
AI is rapidly emerging as a powerful ally in protecting networks, systems, and data. The new perspectives in the field of cybersecurity for 2024 anticipate a significant increase in the adoption of AI-based solutions to prevent, detect, and respond to cyber threats.

: Miki G.; > Artificial Intelligence; > 18 September 2023

Italian startups are making their entry into the United States, and cities like Boston and New York are increasingly becoming the main stage for highly prominent events in the field of innovation and investment. One of these resonant events is "Primo Innovare 2023", organized by 42N Advisors, an association made up of over twenty Italian experts in the entrepreneurial, academic and professional sectors, rooted in the United States for many years, with the aim of bringing together the best Italian startups with a group of prominent American investors. The prestigious event will be held at the Italian Consulate in New York on September 12 and at the Italian Consulate in Boston on September 14, 2023.

: Silvia S.; > Artificial Intelligence; > 17 July 2023

artificialintelligence, future, cybersecurity, darktrace

The advent of artificial intelligence (AI) has brought important developments in the field of cyber threat prevention. AI can play a crucial role in detecting and mitigating cyber threats, providing effective solutions to counter increasingly sophisticated attacks and to protect networks and information systems.

: Silvia S.; > Artificial Intelligence; > 12 June 2023

Fake images generated by artificial intelligence (AI) are becoming more and more realistic, but fortunately humans still have a natural instinct to recognize them. Cyber security experts are working to develop methods and tools to detect synthetic images and protect users from the risks associated with spreading false content. We'll explore how to identify fake images created by AI and how to adopt a mindset of caution to ensure cybersecurity.

The importance of human instinct:

False images can surprise us when they contrast with what we know to be true. We must pay attention to strange details or inconsistencies that can reveal the synthetic nature of an image. The first rule is to take the time to carefully analyze an image before sharing or retweeting it, to avoid spreading false content.

Telltale artifacts and signs:

AI-generated images may have artifacts or flaws that are easily identifiable upon closer inspection. For example, in deepfake videos, people may not blink properly. The seams of the images may reveal discrepancies or anomalies, such as sleeves that blend with the skin color. Paying attention to details like hair, glasses, headwear, jewelry, and backgrounds can help spot potential fake images.

Faking hands and eyes:

Images created by artificial intelligence often fail to realistically reproduce human hands. They may have the wrong number of toes or unnatural positions. The eyes are also an important element to observe. People's pupils are usually circular in shape, while artificial intelligence can produce unrealistic shadows or reflections. Looking closely at the hands and eyes of a person in the image can reveal any abnormalities.

Difficulty dealing with lighting and physical laws:

AI can have a hard time handling lighting, shadows and the laws of physics correctly. If an image has reflective surfaces, windows, or objects that interact with light, there may be discrepancies in shadows or lighting. Synthetic images may appear smooth and lack the roughness typical of real images. Observing any distortions in the image, such as curved objects or jagged edges, may be a sign of forgery.
However, more sophisticated and reliable tools are needed to address the threat of AI-generated false images. Google Reverse Image Search can be useful for widely circulated images, but lesser-known or unique images may require professional AI detection services offered by specialist companies like Reality Defender.

Some studies at the University of California at Berkeley suggest watermarks or other markings that identify computer-generated images. This would make it possible to trace the origin of the images and hold the creators of artificial intelligence responsible for their misuse.

Meanwhile, efforts are being made to develop free and affordable AI detection programs and tools that can detect the "signature" of AI-generated images. These tools should be able to identify distinctive features of synthetic images and provide a detailed analysis of their authenticity.
It is important that cybersecurity organizations, technology companies and industry experts work together to develop effective solutions that protect people from misinformation and manipulation. Additionally, efforts to educate the public about the existence and potential threats of AI-generated synthetic images are critical to increasing awareness and resilience against such attacks.

The battle against artificial intelligence-generated fake images is ongoing, but with technological advancement and expert engagement, it is possible to significantly mitigate this threat. Cybersecurity remains an ever-evolving challenge, but through collaboration and innovation, we can work towards greater protection and reliability in the digital age.

Page 1 of 3