Deepfake technology harnesses artificial intelligence (AI) and deep learning to create or alter audiovisual content, typically videos, in a way that makes it challenging to distinguish between real and fabricated material. The term “deepfake” is a blend of “deep learning” and “fake.” CNBC brought this interesting topic to our attention and their article, “Deepfake scams have robbed companies of millions. Experts warn it could get worse.”
Deepfake technology first garnered widespread attention for its ability to produce highly realistic but non-consensual pornographic videos featuring celebrities or private individuals. These early applications raised significant privacy and ethical concerns due to the potential for severe personal and professional harm.
The evolution of AI brings both benefits and challenges. A significant issue is that many organizations lack understanding of how AI systems make decisions. Explainable AI addresses this by making the decision-making processes of machine learning algorithms transparent and understandable. This fosters trust and allows users to comprehend and verify the results produced by AI systems.
Deepfake technology exemplifies the dual-edged nature of AI advancements. While it offers innovative applications in entertainment and media, it also presents serious ethical, legal and privacy challenges. By staying vigilant, exercising caution and advocating for explainable AI, society can mitigate the risks and harness the potential of deepfake technology responsibly.
Melody K. Smith
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