Misinformation reloaded? Fears about the impact of generative AI on misinformation are overblown

Simon, Felix M.; Altay, Sacha; Mercier, Hugo

doi:10.37016/mr-2020-127

Cited by 7 publications

(1 citation statement)

References 42 publications

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“…In the financial sector, generative AI has led to significant investment surges, resulting in transformative tools like robo-advisors. However, economists like Daron Acemoglu have raised warnings about potential adverse consequences, including data harvesting, customer manipulation, and labor market disparities, underscoring the complex impact of AI on society [6,23].…”

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confidence: 99%

Unveiling the evolution of generative AI (GAI): a comprehensive and investigative analysis toward LLM models (2021–2024) and beyond

Akhtar

2024

Journal of Electrical Systems and Inf Technol

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This comprehensive exploration of recent breakthroughs in artificial intelligence (AI) traversed the realms of language models, computer vision, and generative models, unraveling the intricacies of cutting-edge technologies such as GPT-3.5, GPT-4, Pix2Seq, and multimodal models in terms of generative AI. In this multifaceted journey, the focus extended beyond technological prowess to ethical considerations, emphasizing responsible AI practices guided by Google's AI Principles. The nuanced discussions encapsulated the transformative impact of AI on user experiences across various Google products and toolsets, paving the way for a future where natural language interaction, creative content generation, and multimodal understanding redefine human–computer interactions. The research investigation showcased not only the advancements themselves but also the critical lens through which these innovations are approached, underscoring the importance of ethical and responsible AI in shaping the technological landscape.

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confidence: 99%

Unveiling the evolution of generative AI (GAI): a comprehensive and investigative analysis toward LLM models (2021–2024) and beyond

Akhtar

2024

Journal of Electrical Systems and Inf Technol

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On the way to deep fake democracy? Deep fakes in election campaigns in 2023

Łabuz,

Nehring

2024

Eur Polit Sci

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The development of generative artificial intelligence raises justified concerns about the possibility of undermining trust in democratic processes, especially elections. Deep fakes are often considered one of the particularly dangerous forms of media manipulation. Subsequent research confirms that they contribute to strengthening the sense of uncertainty among citizens and negatively affect the information environment. The aim of this study is to analyse the use of deep fakes in 11 countries in 2023, in the context of elections and to indicate potential consequences for future electoral processes, in particular with regard to the significant number of elections in 2024. We argue that a so-called “information apocalypse” emerges mainly from exaggeratedly alarmist voices that make it difficult to shape responsible narratives and may have the features of a self-fulfilling prophecy. Thus, we suggest to use the term “pollution” instead and improve scientific and journalistic discourse that might be a precondition for reducing threats that touch on social reactions to deep fakes and their potential.

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Algorithmic Inoculation Against Misinformation: How to Build Cognitive Immunity Against Misinformation

Shin,

Akhtar

2024

Journal of Broadcasting & Electronic Media

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Misinformation reloaded? Fears about the impact of generative AI on misinformation are overblown

Cited by 7 publications

References 42 publications

Unveiling the evolution of generative AI (GAI): a comprehensive and investigative analysis toward LLM models (2021–2024) and beyond

Unveiling the evolution of generative AI (GAI): a comprehensive and investigative analysis toward LLM models (2021–2024) and beyond

On the way to deep fake democracy? Deep fakes in election campaigns in 2023

Algorithmic Inoculation Against Misinformation: How to Build Cognitive Immunity Against Misinformation

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