"The emergence of ChatGPT and its almost immediate impact on businesses took many by surprise. The generative AI chatbot proved popular with everyone from students and SMBs to the enterprise, taking many companies by storm and prompting them to explore the benefits of AI in earnest. Generative AI can be transformative for businesses; however, as with any new technology, it can be abused, an issue highlighted by the risks posed by deepfakes."
"Deepfakes are generated through AI tools and large language models (LLMs). You can generate photos and videos of a target saying something or performing an action. Source material fed into LLMs or found online, including existing photos or voice clips such as those scraped from interviews and podcasts, can add enough realism that deepfakes become very difficult to detect."
Generative AI adoption accelerated rapidly across students, SMBs, and enterprises, prompting broad exploration of AI benefits. Generative AI offers transformative potential for business processes and innovation. The same tools enable creation of realistic deepfake images, audio, and video that impersonate targets or fabricate events. Source material scraped from interviews, podcasts, or online content can increase realism and hinder detection. GANs can synthesize entirely new but believable people that spread scams or misinformation. Lower barriers to entry make sophisticated fraud easier for threat actors. Rising deepfake incidents threaten reputational and financial harm, creating a need for strengthened defenses and risk mitigation steps.
Read at ZDNET
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