Researchers are improving detection algorithms to make them fairer and more accurate by incorporating greater demographic diversity, according to The Conversation. Deepfakes, synthetic media in which a person’s likeness is replaced with someone else’s without consent, are rapidly advancing. From realistic representations of celebrities in compromising situations to false statements by political leaders, technology poses a significant threat to trust and truth in digital media. As these manipulations become harder to detect, the want to develop tools to disprove them grows. Bias in Detection Algorithms Typically, deepfake detection systems rely
Integrating AI in mammography offers a new era in breast cancer detection. However, there are concerns for people of color. The technology, which is becoming increasingly accessible, has the potential to enhance early detection rates beyond the current 87% achieved by traditional mammograms, as reported by The New York Times. AI algorithms are not working at identifying subtle signs of cancer that conventional methods may miss, thereby reducing false positives and unnecessary treatments. The Concerns For People Of Color Despite these advancements, the adoption of AI-enhanced mammography faces significant hurdles. One
