{"id":2926,"date":"2024-10-08T19:44:03","date_gmt":"2024-10-08T19:44:03","guid":{"rendered":"https:\/\/usatrustedlawyers.com\/blog\/risks-realities-and-lessons-for-businesses\/"},"modified":"2024-10-08T19:44:03","modified_gmt":"2024-10-08T19:44:03","slug":"risks-realities-and-lessons-for-businesses","status":"publish","type":"post","link":"https:\/\/usatrustedlawyers.com\/blog\/risks-realities-and-lessons-for-businesses\/","title":{"rendered":"Risks, Realities, and Lessons for Businesses"},"content":{"rendered":"\n
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In 2024, a year proclaimed as the “Year of the Election,” voters in countries representing over half the world’s population headed to the polls. This massive electoral wave coincided with the rising prominence of Generative AI (GenAI), sparking debates about its potential impact on election integrity and public perception. Businesses, just like political players, are also facing a new landscape where GenAI can be both a risk and an opportunity.<\/p>\n<\/div>\n

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GenAI’s ability to produce highly sophisticated and convincing content at a fraction of the previous cost has raised fears that it could amplify misinformation. The dissemination of fake audio, images and text could reshape how voters perceive candidates and parties. Businesses, too, face challenges in managing their reputations and navigating this new terrain of manipulated content.<\/p>\n<\/div>\n

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The Explosion of GenAI In 2024<\/h2>\n

Conversations from across eight major social media platforms, online messaging forums and blog sites about GenAI surged by 452% in the first eight months of 2024 compared to the same period in 2023, according to sourced data from\u00a0Brandwatch<\/a>. Many expected 2024 to be the year that deepfakes and other GenAI-driven misinformation would wreak havoc in global elections.<\/p>\n<\/div>\n

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However, reality proved to be more nuanced than these initial concerns. While deepfake videos and images did gain some traction, it was the more conventional forms of AI-generated content, such as text and audio, which appear to have posed greater challenges. AI-generated text and audio appear to have been harder to detect, more believable, and cheaper to produce than deepfake images and videos.<\/p>\n<\/div>\n

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The ‘Liar’s Dividend’ and the Challenge for Truth<\/h2>\n

One of the significant concerns that emerged with GenAI is what has been coined the “Liar’s Dividend.” This refers to the increasing difficulty in convincing people of the truth as belief in the widespread prevalence of fake content grows.<\/p>\n<\/div>\n

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It is a “Liar’s Dividend” because it allows people to lie about things that have really happened, explaining away evidence as fabricated content. Worryingly, in politically polarized countries like the United States, the Liar’s Dividend could make it even harder for politicians and their supporters to agree on basic facts.<\/p>\n<\/div>\n

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For businesses, this phenomenon also poses serious risks. If a company faces accusations, even presenting real evidence to refute them might not be enough to convince the public that the claims are false. As people become more skeptical of all content, it becomes harder for companies to manage their reputations effectively.<\/p>\n<\/div>\n

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What Have We Learned So Far?<\/h2>\n

Despite early concerns, 2024 has not yet seen the dramatic escalation of GenAI manipulation in elections that many feared. Several factors have contributed to this:<\/p>\n