Meta Says AI-Generated Misinformation Has Been Low for 2024 Elections

Category Artificial Intelligence

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33 seconds

Meta states that there has been minimal AI-generated misinformation in the 2024 elections. Experts are concerned about AI-generated disinformation interfering with elections, and Meta has faced criticism for its content moderation policies in the past. The company is now utilizing fact checkers and AI technology to combat election interference, although these tools are not yet perfect. Clegg defends Meta's decision to allow ads claiming the 2020 US election was stolen and states that AI is an important tool in identifying and removing false information.

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2 minutes, 21 seconds

Meta, formerly known as Facebook, has stated that it has seen strikingly little AI-generated misinformation around the 2024 elections despite major votes scheduled in countries such as Indonesia, Taiwan, and Bangladesh. Nick Clegg, the company's president of global affairs, emphasized that while AI-generated interference is present, it is not happening at a significant volume or on a systemic level. Clegg mentioned that Meta has seen attempts at interference in the Taiwanese election, but the scale of the attempted interference is manageable.

In 2024, major elections will be held in countries like Indonesia, Taiwan, and Bangladesh.

As more than 50 countries prepare for elections this year, experts have expressed concerns about the potential for AI-generated political disinformation to interfere with the democratic process. The fear is that malicious actors will utilize generative AI and social media to spread false information and manipulate voters.

Meta, a company that has previously faced criticism for its content moderation policies during elections, is now ramping up its efforts to combat election interference. Clegg stated that the company has removed over 200 networks of coordinated inauthentic behavior since the 2016 US presidential election. In order to identify unwanted groups on its platforms, Meta now relies on a combination of fact checkers and AI technology. However, Clegg admits that these tools are still imperfect and immature, particularly when it comes to detecting AI-generated content. Watermarks, which are used to verify the authenticity of media, are not widely adopted in the AI industry and are easy to tamper with. This poses a challenge in identifying and removing AI-generated text, audio, and video that contain misinformation and disinformation.

Nick Clegg, Meta's president of global affairs, stated that AI-generated misinformation around the 2024 elections has been minimal.

Despite these challenges, Clegg reassures that AI is an important tool in the fight against election interference. He also defends Meta's decision to allow ads claiming that the 2020 US election was stolen, stating that similar claims are common in elections around the world. He adds that it is not feasible for Meta to relitigate past elections and that the company's systems should be able to detect and remove false information regardless of its source. However, this decision has been met with criticism, with eight state secretaries of state writing a letter to Meta CEO Mark Zuckerberg, expressing concerns about the potential danger of these ads in further threatening public trust in elections and the safety of election workers.

Meta has seen attempts at interference in the Taiwanese election, but the scale of interference is manageable.


Voice Cloning Tool Raises Concerns About AI Misinformation in Election Year

Category Technology

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OpenAI has revealed their voice-cloning tool, 'Voice Engine', which can duplicate someone's speech with only a short audio sample. Concerns have been raised about the potential for this technology to be misused for political gain, leading to the spread of misinformation. OpenAI is working with partners to incorporate feedback and implement safety measures, but experts caution that more needs to be done to prevent misuse of AI in the upcoming election.

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Meta Working with Tech Firms to Identify and Label AI-Generated Images on Social Media

Category Business

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Meta is collaborating with other tech companies to develop standards for identifying and labeling AI-generated images on social media, in an effort to increase transparency and address concerns over disinformation. The company already has systems in place for tagging images created with their own AI tools and hopes to expand this to include audio and video content in the future. The rise of generative AI has raised fears of political chaos through disinformation campaigns and the spread of fake images and videos. While labeling may not fully eliminate the risk, it is a step in the right direction to minimize its impact and promote critical assessment of online content.

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The Rising Threat of Bad-Actor AI in Global Elections: A Comprehensive Scientific Analysis

Category Machine Learning

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A new study by GWU predicts a significant increase in bad-actor AI activity during global elections in mid-2024. The study is the first of its kind to quantitatively analyze this threat, finding that AI bots and sockpuppets can amplify and disseminate disinformation campaigns at an alarming rate. Governments and online platforms must take proactive measures to control and combat this threat.

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Navigating the Regulation Landscape for Generative AI Technologies

Category Science

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The rise of generative AI has sparked worries about its impact on society, leading to calls for regulation. Some governments are actively addressing these concerns, while others are taking a more hands-off approach. Potential methods of regulation include limiting AI's training data, attributing output to creators for compensation, and distinguishing between human-created and AI-generated works. However, the feasibility of these approaches varies and continues to be explored.

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AI Disinformation: Are We More Likely To Fall For Fake News When Generated By AI?

Category Artificial Intelligence

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A recent study found that people were 3% less likely to spot false tweets generated by AI than those written by humans. OpenAI's large language model GPT-3 is powerful and can generate incorrect text that appears convincing. AI-text-detection tools are still in its early stages of development and further research is needed to determine the impact of AI-generated inauthentic content.

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EU Commission Vice Politics pushes AI labels on online platforms to Combat False Information

Category Machine Learning

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The European Union is pushing internet platforms like Google and Meta to label AI generated content as it can produce complex visuals and text in seconds that could potentially mislead people. The EU has taken a lead role in the global movement to regulate AI with its AI Act but it is still needing final approval. There is a voluntary code of conduct for AI being drawn up by European and U.S. soldiers which should be ready within weeks.

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