Skip to content Skip to sidebar Skip to footer
Only AI Stuff
Only AI Stuff

Ethics

Close

Contemporary war zones have transformed into a hub for testing AI-based experimental weapons.

Ethics, Ethics & Society, Uncategorized, War, WarfareJuly 4, 202433Views0Likes0Comments
AI technology is radically changing the face of modern warfare, posing serious questions about human control, ethical implications, and the potential for escalating conflicts. Leading nations including the US, Ukraine, Russia, China, and Israel are engaged in an AI arms race, using autonomous drones and predictive targeting algorithms to reshape the nature of combat. The…

Read More

Three inquiries: Understanding the essentials about audio deepfakes.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Ethics, Interview, Machine learning, MIT Schwarzman College of Computing, Natural language processing, School of Engineering, Technology and society, UncategorizedJune 17, 202439Views0Likes0Comments
The recent misuse of audio deepfakes, including a robocall purporting to be Joe Biden in New Hampshire and spear-phishing campaigns, has prompted questions about the ethical considerations and potential benefits of this emerging technology. Nauman Dawalatabad, a postdoctoral researcher, discussed these concerns in a Q&A prepared for MIT News. According to Dawalatabad, the attempt to obscure…

Read More

Three Inquiries: Essential Information on Audio Deepfakes You Should Understand

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Ethics, Interview, Machine learning, MIT Schwarzman College of Computing, Natural language processing, School of Engineering, Technology and society, UncategorizedJune 17, 202435Views0Likes0Comments
Audio deepfakes have recently been in the news, particularly in regards to their negative impacts, such as fraudulent robocalls pretending to be Joe Biden, encouraging people not to vote. These malicious uses could negatively affect political campaigns, financial markets, and lead to identity theft. However, Nauman Dawalatabad, a postdoc student at MIT, argues that deepfakes…

Read More

Three Queries: Essential Information Regarding Deepfakes in the Audio Realm

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Ethics, Interview, Machine learning, MIT Schwarzman College of Computing, Natural language processing, School of Engineering, Technology and society, UncategorizedJune 16, 202432Views0Likes0Comments
Nauman Dawalatabad, a postdoctoral researcher discusses the concerns and potential benefits of audio deepfake technology in a Q&A with MIT News. He addresses ethical considerations regarding the concealment of a source speaker’s identity in audio deepfakes, noting that speech contains a wealth of sensitive personal information beyond identity and content, such as age, gender and…

Read More

Three Inquiries: Essential Information on Audio Deepfakes You Should Know

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Ethics, Interview, Machine learning, MIT Schwarzman College of Computing, Natural language processing, School of Engineering, Technology and society, UncategorizedJune 16, 202435Views0Likes0Comments
Recently, an AI-generated robocall mimicking Joe Biden urged New Hampshire residents not to vote. Meanwhile, "spear-phishers" – phishing campaigns targeting specific people or groups – are using audio deepfakes to extract money. However, less attention has been paid to how audio deepfakes could positively impact society. Postdoctoral fellow Nauman Dawalatabad does just that in a…

Read More

Three Queries: Essential Information on Audio Deepfakes You Should Understand

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Ethics, Interview, Machine learning, MIT Schwarzman College of Computing, Natural language processing, School of Engineering, Technology and society, UncategorizedJune 15, 202435Views0Likes0Comments
Audio deepfakes, or AI-generated audio, have lately been in the limelight due to harmful deception applied by ill-intentioned individuals. Cases such as robocalls impersonating political figures, spear-phishers tricking individuals into revealing personal information, and actors misusing technology to preserve their voices have surfaced in the media. While these negative instances have been widely publicized, MIT…

Read More

Three Inquiries: Essential Information you must Understand about Audio Deepfakes.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Ethics, Interview, Machine learning, MIT Schwarzman College of Computing, Natural language processing, School of Engineering, Technology and society, UncategorizedJune 15, 202434Views0Likes0Comments
In this Q&A article for MIT News, postdoc Nauman Dawalatabad discusses the ethical considerations, challenges, and positive impacts of audio deepfakes - the AI-generated audio that can mimic human voices. Recently, the technology has been misused causing public concern, for example, a robocall imitating Joe Biden’s voice instructed New Hampshire residents not to vote, while…

Read More

Physicians encounter greater challenges in identifying diseases when examining images of darker skin tones.

Artificial Intelligence, Computer science and technology, Ethics, Health care, Media Lab, Medicine, Research, School of Architecture and Planning, Social justice, Technology and society, UncategorizedMay 15, 202426Views0Likes0Comments
A new study by researchers from Massachusetts Institute of Technology (MIT) has found that doctors are less accurate in diagnosing skin diseases based on images when the patient has darker skin. The study included over 1,000 dermatologists and general practitioners; dermatologists accurately diagnosed 38 percent of images overall, but only 34 percent of darker skin…

Read More

Physicians often find it more challenging to identify diseases when examining images of darker skin tones.

Artificial Intelligence, Computer science and technology, Ethics, Health care, Media Lab, Medicine, Research, School of Architecture and Planning, Social justice, Technology and society, UncategorizedMay 15, 202438Views0Likes0Comments
Doctors are less accurate when diagnosing skin diseases in people with darker skin, according to a study by MIT researchers. The researchers found that dermatologists accurately characterized 38% of images of skin diseases, but only 34% of those images were of darker skin. The results were similar for general practitioners. The research team suggested that…

Read More

Diagnosing illnesses can be more challenging for physicians when examining images of darker skin tones.

Artificial Intelligence, Computer science and technology, Ethics, Health care, Media Lab, Medicine, Research, School of Architecture and Planning, Social justice, Technology and society, UncategorizedMay 14, 202437Views0Likes0Comments
Doctors struggle to diagnose skin disease accurately in patients with darker skin tones, according to new research from MIT. The study found that dermatologists correctly diagnosed images of skin disease in just 34% of cases involving darker skin, compared with 38% involving lighter skin. The researchers also examined the effect of AI assistance on diagnostic…

Read More

Physicians face greater challenges in identifying diseases when examining images of darker skin tones.

Artificial Intelligence, Computer science and technology, Ethics, Health care, Media Lab, Medicine, Research, School of Architecture and Planning, Social justice, Technology and society, UncategorizedMay 14, 202436Views0Likes0Comments
A new study from MIT researchers suggests that doctors are less accurate in diagnosing skin diseases on patients with darker skin through images alone. The study analyzed the accuracy of over 1,000 dermatologists and general practitioners and found that dermatologists correctly diagnosed about 38% of the images they saw, but only 34% for those of…

Read More

+60 12-462 2768
hello@goacademyai.com