CH4 Dispatches - Can AI Steal Your Vote (2024)


CH4 Dispatches - Can AI Steal Your Vote (2024)

Election campaigners and experts have warned that artificial intelligence tools could risk politically motivated disinformation flooding social media feeds in ways that recently seemed unimaginable. The fear is that deepfakes and other AI-generated material could influence votes. Cathy Newman reports on the issue, illustrating the effect that AI could have on 12 households of undecided voters. The homes are fed AI-generated material advised by political experts, with the residents none the wiser. Will the experiment succeed? If so, what does it say about the power of AI to influence the vote?

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Snippet from Wikipedia: Artificial intelligence

Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. Such machines may be called AIs.

Some high-profile applications of AI include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon, and Netflix); interacting via human speech (e.g., Google Assistant, Siri, and Alexa); autonomous vehicles (e.g., Waymo); generative and creative tools (e.g., ChatGPT, Apple Intelligence, and AI art); and superhuman play and analysis in strategy games (e.g., chess and Go). However, many AI applications are not perceived as AI: "A lot of cutting edge AI has filtered into general applications, often without being called AI because once something becomes useful enough and common enough it's not labeled AI anymore."

Alan Turing was the first person to conduct substantial research in the field that he called machine intelligence. Artificial intelligence was founded as an academic discipline in 1956, by those now considered the founding fathers of AI, John McCarthy, Marvin Minksy, Nathaniel Rochester, and Claude Shannon. The field went through multiple cycles of optimism, followed by periods of disappointment and loss of funding, known as AI winter. Funding and interest vastly increased after 2012 when deep learning surpassed all previous AI techniques, and after 2017 with the transformer architecture. This led to the AI boom of the early 2020s, with companies, universities, and laboratories overwhelmingly based in the United States pioneering significant advances in artificial intelligence.

The growing use of artificial intelligence in the 21st century is influencing a societal and economic shift towards increased automation, data-driven decision-making, and the integration of AI systems into various economic sectors and areas of life, impacting job markets, healthcare, government, industry, education, propaganda, and disinformation.


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