Main Topic: Increasing use of AI in manipulative information campaigns online.
Key Points:
1. Mandiant has observed the use of AI-generated content in politically-motivated online influence campaigns since 2019.
2. Generative AI models make it easier to create convincing fake videos, images, text, and code, posing a threat.
3. While the impact of these campaigns has been limited so far, AI's role in digital intrusions is expected to grow in the future.
### Summary
Rep. Jake Auchincloss emphasizes the need to address the challenges posed by artificial intelligence (AI) without delay and warns against allowing AI to become "social media 2.0." He believes that each industry should develop its own regulations and norms for AI.
### Facts
- Rep. Jake Auchincloss argues that new technology, including AI, has historically disrupted and displaced parts of the economy while also enhancing creativity and productivity.
- He cautions against taking a one-size-fits-all approach to regulate AI and advocates for industry-specific regulations in healthcare, financial services, education, and journalism.
- Rep. Auchincloss highlights the importance of holding social media companies liable for allowing defamatory content generated through synthetic videos and AI.
- He believes that misinformation spread through fake videos could have significant consequences in the 2024 election and supports amending Section 230 to address this issue.
- Rep. Auchincloss intends to prioritize addressing these concerns and hopes to build consensus on the issue before the 2024 election.
- While he is focused on his current role as the representative for the Massachusetts Fourth district, he does not rule out future opportunities in any field but expresses his satisfaction with his current position.
### Summary
The rise of generative artificial intelligence (AI) is making it difficult for the public to differentiate between real and fake content, raising concerns about deceptive fake political content in the upcoming 2024 presidential race. However, the Content Authenticity Initiative is working on a digital standard to restore trust in online content.
### Facts
- Generative AI is capable of producing hyper-realistic fake content, including text, images, audio, and video.
- Tools using AI have been used to create deceptive political content, such as images of President Joe Biden in a Republican Party ad and a fabricated voice of former President Donald Trump endorsing Florida Gov. Ron DeSantis' White House bid.
- The Content Authenticity Initiative, a coalition of companies, is developing a digital standard to restore trust in online content.
- Truepic, a company involved in the initiative, uses camera technology to add verified content provenance information to images, helping to verify their authenticity.
- The initiative aims to display "content credentials" that provide information about the history of a piece of content, including how it was captured and edited.
- The hope is for widespread adoption of the standard by creators to differentiate authentic content from manipulated content.
- Adobe is having conversations with social media platforms to implement the new content credentials, but no platforms have joined the initiative yet.
- Experts are concerned that generative AI could further erode trust in information ecosystems and potentially impact democratic processes, highlighting the importance of industry-wide change.
- Regulators and lawmakers are engaging in conversations and discussions about addressing the challenges posed by AI-generated fake content.
### Summary
A debate has arisen about whether AI-generated content should be labeled as such, but Google does not require AI labeling as it values quality content regardless of its origin. Human editors and a human touch are still necessary to ensure high-quality and trustworthy content.
### Facts
- Over 85% of marketers use AI in their content production workflow.
- AI labeling involves indicating that a piece of content was generated using artificial intelligence.
- Google places a higher emphasis on content quality rather than its origin.
- The authority of the website and author is important to Google.
- Google can detect AI-generated content but focuses on content quality and user intent.
- Human editors are needed to verify facts and ensure high-quality content.
- Google prioritizes natural language, which requires a human touch.
- As AI becomes more prevalent, policies and frameworks may evolve.
AI labeling, or disclosing that content was generated using artificial intelligence, is not deemed necessary by Google for ranking purposes; the search engine values quality content, user experience, and authority of the website and author more than the origin of the content. However, human editors are still crucial for verifying facts and adding a human touch to AI-generated content to ensure its quality, and as AI becomes more widespread, policies and frameworks around its use may evolve.
A research paper reveals that ChatGPT, an AI-powered tool, exhibits political bias towards liberal parties, but there are limitations to the study's findings and challenges in understanding the behavior of the software without greater transparency from OpenAI, the company behind it. Meanwhile, the UK plans to host a global summit on AI policy to discuss the risks of AI and how to mitigate them, and AI was mentioned during a GOP debate as a comparison to generic, unoriginal thinking and writing.
The state of Kansas has implemented a new policy regarding the use of artificial intelligence, emphasizing the need for control, security, and editing of AI-generated content while recognizing its potential to enhance productivity and efficiency.
AI Algorithms Battle Russian Disinformation Campaigns on Social Media
A mysterious individual known as Nea Paw has developed an AI-powered project called CounterCloud to combat mass-produced AI disinformation. In response to tweets from Russian media outlets and the Chinese embassy that criticized the US, CounterCloud produced tweets, articles, and even journalists and news sites that were entirely generated by AI algorithms. Paw believes that the project highlights the danger of easily accessible generative AI tools being used for state-backed propaganda. While some argue that educating users about manipulative AI-generated content or equipping browsers with AI-detection tools could mitigate the issue, Paw believes that these solutions are not effective or elegant. Disinformation researchers have long warned about the potential of AI language models being used for personalized propaganda campaigns and influencing social media users. Evidence of AI-powered disinformation campaigns has already emerged, with academic researchers uncovering a botnet powered by AI language model ChatGPT. Legitimate political campaigns, such as the Republican National Committee, have also utilized AI-generated content, including fake images. AI-generated text can still be fairly generic, but with human finesse, it becomes highly effective and difficult to detect using automated filters. OpenAI has expressed concern about its technology being utilized to create tailored automated disinformation at a large scale, and while it has updated its policies to restrict political usage, it remains a challenge to block the generation of such material effectively. As AI tools become increasingly accessible, society must become aware of their presence in politics and protect against their misuse.
Deceptive generative AI-based political ads are becoming a growing concern, making it easier to sell lies and increasing the need for news organizations to understand and report on these ads.
Google is enhancing its artificial intelligence tools for business, solidifying its position as a leader in the industry.
Artificial intelligence will play a significant role in the 2024 elections, making the production of disinformation easier but ultimately having less impact than anticipated, while paranoid nationalism corrupts global politics by scaremongering and abusing power.
Google will require political advertisers to disclose the use of artificial intelligence tools and synthetic content in their ads, becoming the first tech company to implement such a requirement.
AI on social media platforms, both as a tool for manipulation and for detection, is seen as a potential threat to voter sentiment in the upcoming US presidential elections, with China-affiliated actors leveraging AI-generated visual media to emphasize politically divisive topics, while companies like Accrete AI are employing AI to detect and predict disinformation threats in real-time.
Artificial intelligence (AI) poses a high risk to the integrity of the election process, as evidenced by the use of AI-generated content in politics today, and there is a need for stronger content moderation policies and proactive measures to combat the use of AI in coordinated disinformation campaigns.
More than half of Americans believe that misinformation spread by artificial intelligence (AI) will impact the outcome of the 2024 presidential election, with supporters of both former President Trump and President Biden expressing concerns about the influence of AI on election results.
AI-generated content is becoming increasingly prevalent in political campaigns and poses a significant threat to democratic processes as it can be used to spread misinformation and disinformation to manipulate voters.
Artificial intelligence (AI) has the potential to facilitate deceptive practices such as deepfake videos and misleading ads, posing a threat to American democracy, according to experts who testified before the U.S. Senate Rules Committee.
The proliferation of fake news generated by AI algorithms poses a threat to media outlets and their ability to differentiate between true and false information, highlighting the need for human curation and the potential consequences of relying solely on algorithms.
Minnesota Democrats are calling for regulations on artificial intelligence (AI) in elections, expressing concerns about the potential for AI to deceive and manipulate voters, while also acknowledging its potential benefits for efficiency and productivity in election administration.
Foreign actors are increasingly using artificial intelligence, including generative AI and large language models, to produce and distribute disinformation during elections, posing a new and evolving threat to democratic processes worldwide. As elections in various countries are approaching, the effectiveness and impact of AI-produced propaganda remain uncertain, highlighting the need for efforts to detect and combat such disinformation campaigns.
A nonprofit called AIandYou is launching a public awareness campaign to educate voters about the potential impact of AI on the 2024 election, including using AI-generated deepfake content to familiarize voters with this technology.
As the 2023 election campaign in New Zealand nears its end, the rise of Artificial Intelligence (AI) and its potential impact on the economy, politics, and society is being largely overlooked by politicians, despite growing concerns from AI experts and the public. The use of AI raises concerns about job displacement, increased misinformation, biased outcomes, and data sovereignty issues, highlighting the need for stronger regulation and investment in AI research that benefits all New Zealanders.
China's use of artificial intelligence (AI) to manipulate social media and shape global public opinion poses a growing threat to democracies, as generative AI allows for the creation of more effective and believable content at a lower cost, with implications for the 2024 elections.
Lawmakers are calling on social media platforms, including Facebook and Twitter, to take action against AI-generated political ads that could spread election-related misinformation and disinformation, ahead of the 2024 U.S. presidential election. Google has already announced new labeling requirements for deceptive AI-generated political advertisements.
