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| Format: | Preprint |
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2024
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| Online Access: | https://arxiv.org/abs/2411.08250 |
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| _version_ | 1866915016629813248 |
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| author | Ferrara, Emilio |
| author_facet | Ferrara, Emilio |
| contents | Generative AI (GenAI) technologies possess unprecedented potential to reshape our world and our perception of reality. These technologies can amplify traditionally human-centered capabilities, such as creativity and complex problem-solving in socio-technical contexts. By fostering human-AI collaboration, GenAI could enhance productivity, dismantle communication barriers across abilities and cultures, and drive innovation on a global scale. Yet, experts and the public are deeply divided on the implications of GenAI. Concerns range from issues like copyright infringement and the rights of creators whose work trains these models without explicit consent, to the conditions of those employed to annotate vast datasets. Accordingly, new laws and regulatory frameworks are emerging to address these unique challenges. Others point to broader issues, such as economic disruptions from automation and the potential impact on labor markets. Although history suggests that society can adapt to such technological upheavals, the scale and complexity of GenAI's impact warrant careful scrutiny. This paper, however, highlights a subtler, yet potentially more perilous risk of GenAI: the creation of $\textit{personalized synthetic realities}$. GenAI could enable individuals to experience a reality customized to personal desires or shaped by external influences, effectively creating a "filtered" worldview unique to each person. Such personalized synthetic realities could distort how people perceive and interact with the world, leading to a fragmented understanding of shared truths. This paper seeks to raise awareness about these profound and multifaceted risks, emphasizing the potential of GenAI to fundamentally alter the very fabric of our collective reality. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2411_08250 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | What Are The Risks of Living in a GenAI Synthetic Reality? The Generative AI Paradox Ferrara, Emilio Social and Information Networks Generative AI (GenAI) technologies possess unprecedented potential to reshape our world and our perception of reality. These technologies can amplify traditionally human-centered capabilities, such as creativity and complex problem-solving in socio-technical contexts. By fostering human-AI collaboration, GenAI could enhance productivity, dismantle communication barriers across abilities and cultures, and drive innovation on a global scale. Yet, experts and the public are deeply divided on the implications of GenAI. Concerns range from issues like copyright infringement and the rights of creators whose work trains these models without explicit consent, to the conditions of those employed to annotate vast datasets. Accordingly, new laws and regulatory frameworks are emerging to address these unique challenges. Others point to broader issues, such as economic disruptions from automation and the potential impact on labor markets. Although history suggests that society can adapt to such technological upheavals, the scale and complexity of GenAI's impact warrant careful scrutiny. This paper, however, highlights a subtler, yet potentially more perilous risk of GenAI: the creation of $\textit{personalized synthetic realities}$. GenAI could enable individuals to experience a reality customized to personal desires or shaped by external influences, effectively creating a "filtered" worldview unique to each person. Such personalized synthetic realities could distort how people perceive and interact with the world, leading to a fragmented understanding of shared truths. This paper seeks to raise awareness about these profound and multifaceted risks, emphasizing the potential of GenAI to fundamentally alter the very fabric of our collective reality. |
| title | What Are The Risks of Living in a GenAI Synthetic Reality? The Generative AI Paradox |
| topic | Social and Information Networks |
| url | https://arxiv.org/abs/2411.08250 |