Navigating the Rising Tide of Deepfakes: Singapore’s Challenge and Global Trends
The post Navigating the Rising Tide of Deepfakes: Singapore’s Challenge and Global Trends appeared on BitcoinEthereumNews.com. Singapore has witnessed a fivefold increase in deepfake incidents in recent years, raising significant concerns over cybersecurity and the potential for criminal misuse. The Sumsub Identity Fraud Report 2023 highlights a global surge in deepfakes, reporting a tenfold rise across various industries. This trend underscores the pressing need for effective strategies to combat the growing threat of digitally manipulated media. Deepfake technology: A double-edged sword Deepfakes, media altered using artificial intelligence (AI) to create realistic but fake content, have become increasingly accessible and sophisticated. Experts warn that such tools are now easier to use, posing privacy and security threats. Kevin Shepherdson, CEO of Straits Interactive, emphasizes the potential for scammers to exploit generative AI for criminal activities, such as creating false job postings and phishing schemes using fabricated identities. While holding immense potential in fields like entertainment and education, the technology is also a potent tool for fraudsters. Its ability to convincingly mimic real individuals poses a new challenge for crime prevention and digital security. Regulatory responses and global perspectives The response to the deepfake phenomenon has been varied, with countries like Singapore and China taking different approaches. Professor Mohan Kankanhalli, Dean of the National University of Singapore’s School of Computing, notes that generative AI has democratized deepfake creation, necessitating swift and effective regulatory responses. Kankanhalli suggests a risk-based approach, targeting individual creators and platforms hosting such content. Penalties for creators and responsibilities for platforms to act upon notification of deepfake content are proposed. In contrast, China has opted for stricter measures, mandating companies to disclose software used in creating deepfakes and their recommendation algorithms. This variance in regulatory strategies reflects the complexity of managing the deepfake dilemma. The challenge becomes increasingly intricate as AI technology advances, requiring a nuanced understanding of the technology and its implications. The evolving landscape…
The post Navigating the Rising Tide of Deepfakes: Singapore’s Challenge and Global Trends appeared on BitcoinEthereumNews.com.
Singapore has witnessed a fivefold increase in deepfake incidents in recent years, raising significant concerns over cybersecurity and the potential for criminal misuse. The Sumsub Identity Fraud Report 2023 highlights a global surge in deepfakes, reporting a tenfold rise across various industries. This trend underscores the pressing need for effective strategies to combat the growing threat of digitally manipulated media. Deepfake technology: A double-edged sword Deepfakes, media altered using artificial intelligence (AI) to create realistic but fake content, have become increasingly accessible and sophisticated. Experts warn that such tools are now easier to use, posing privacy and security threats. Kevin Shepherdson, CEO of Straits Interactive, emphasizes the potential for scammers to exploit generative AI for criminal activities, such as creating false job postings and phishing schemes using fabricated identities. While holding immense potential in fields like entertainment and education, the technology is also a potent tool for fraudsters. Its ability to convincingly mimic real individuals poses a new challenge for crime prevention and digital security. Regulatory responses and global perspectives The response to the deepfake phenomenon has been varied, with countries like Singapore and China taking different approaches. Professor Mohan Kankanhalli, Dean of the National University of Singapore’s School of Computing, notes that generative AI has democratized deepfake creation, necessitating swift and effective regulatory responses. Kankanhalli suggests a risk-based approach, targeting individual creators and platforms hosting such content. Penalties for creators and responsibilities for platforms to act upon notification of deepfake content are proposed. In contrast, China has opted for stricter measures, mandating companies to disclose software used in creating deepfakes and their recommendation algorithms. This variance in regulatory strategies reflects the complexity of managing the deepfake dilemma. The challenge becomes increasingly intricate as AI technology advances, requiring a nuanced understanding of the technology and its implications. The evolving landscape…
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