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🌬️The AIr That You Breathe
Sounds Fishy
In today’s email:
🔬 Research highlights: Sounds Fishy…and Piscesian Robots
🚨 Industry news: The AIr That You Breathe and Echoes of Ancient Greece
⚖️ Policy and regulation: Legal AI and the EU AI Act
🌐 AI and society: AI is Such a Kant- Toward a Deontology of AI, Maybe?
🐟 Sounds Fishy…and Piscesian Robots
Researchers from the University of Bristol have been examining a fish's sensory system to understand better signs for group behavior that might be applied to underwater robotics.
This study focused on the lateral line sensing organ in African cichlid fish, though it is present in nearly all fish species. This organ gives fish the ability to sense and interpret the water pressures around them with the acuity necessary to identify external influences like other fish nearby, changes in water flow, predators, and obstacles.
The lateral line system covers the fish's head, trunk, and tail. Mechanoreceptors, or neuromasts, are found on the skin's surface or in subdermal channels.
According to lead author Elliott Scott of the University of Bristol's Department of Engineering Mathematics, "We were trying to find out if the different areas of the lateral line — the lateral line on the head versus the lateral line on the body, or the different types of lateral line sensory units such as those on the skin, versus those under it, play different roles in how the fish can sense its environment through environmental pressure readings.
🌬️ The AIr That You Breathe and Echoes of Ancient Greece
Researchers at MIT create an AI model that can forecast the probability of developing lung cancer. Based on CT scans, a deep learning algorithm uses a tailored strategy to determine each patient's risk of lung cancer.
The Abdul Latif Jameel Clinic for Machine Learning in Health at MIT, the Mass General Cancer Center (MGCC), and Chang Gung Memorial Hospital are developing Sybil, an artificial intelligence tool for assessing the risk of developing lung cancer (CGMH).
The word "Sybil" comes from the Greek term for oracles, sibyls, and women who were trusted to transmit divine knowledge of the omniscient past, present, and future. This artificial intelligence tool now bears the name from the annals of antiquity to the scans of modernity.
With 1.7 million fatalities worldwide from lung cancer in 2020, it remains the most lethal cancer in the world, killing more people than the subsequent three deadliest malignancies combined. The majority of lung cancer patients still lose their battle with the disease, despite a recent spike in the development of novel treatments to treat the condition. Jeremy Wohlwend, a Ph.D. candidate in electrical engineering and computer science at MIT and a member of the Jameel Clinic and CSAIL, was shocked by Sybil's impressive performance despite the absence of any palpable cancer.
👨⚖️ Legal AI and the EU AI Act
The EU AI Act is expected to be finalized in 2023. The EU is moving toward a more strict approach to AI legislation with the proposed passage of the EU AI Act. This will classify artificial intelligence as unacceptable, high, or low/minimal risk. AI systems that provide an unacceptable danger include, for instance, (i) harmful subliminal, misleading, or predatory systems, as well as (ii) any type of social rating (for instance, AI that determines a person's reliability based on social behaviors).
The European Commission also put forth a new AI Liability Directive in September 2022. This is meant to give people affected by businesses that use AI opportunities to sue the offenders. The AI Act will act as a precautionary measure to lessen any possible harm brought on by AI and some uses. In situations when harm has already been done, the AI Liability Directive will offer compensation.
🤖 AI is Such a Kant- Toward a Deontology of AI, Maybe?
Artificial intelligence has been the subject of recurring enthusiasm and disillusionment over its scientific discoveries, technical innovations, and socioeconomic effects in the decades since its inception. Renewed assertions about AI's disruptive and transformative consequences have been made in light of recent advances. Examining the past and present state-of-the-art tech uncovers a vast array of strategies and tactics created by AI researchers.
Several AI systems have been able to perform at superhuman levels, mainly because of contemporary machine-learning techniques. This accomplishment would not have been possible without the exponential growth of processing power, open-source software, accessible data, and embedded services.
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