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Free speech should exist, but boundaries are needed when speech incites violence or discourages vaccinations. The question is where the US should draw those lines and what rules should be in place. With billions of online activities, AI could potentially encode and enforce these rules. A delayed response to harmful content means the harm is already done.

We invest heavily in fighting misinformation by enforcing policies, promoting authoritative sources, avoiding borderline content, and not monetizing misleading information like climate change denial. We remove content violating policies, elevate trusted sources, and avoid recommending low-quality content. Our approach is similar to Google's search results, prioritizing reputable sources for sensitive topics like health and news.

Speaker 0 highlights how their platform is committed to reducing hateful content and promoting healthy behavior online. They claim that 99.9% of posted impressions are healthy, although the definition of "healthy" is not clarified. Speaker 1 questions this definition, citing examples like porn and conspiracy theories. Speaker 0 acknowledges the challenge of distinguishing between lawful but awful content and emphasizes that specific policies are in place. They mention Kanye West's potential return to the platform and assure that he will adhere to these policies. Speaker 0 believes in fostering healthy debate and discourse, even with those we disagree with, as it is essential for free expression to thrive.

We support free speech, but there are limits, especially when it incites violence or discourages vaccination. It's important to define these boundaries. If we establish rules, how can we enforce them effectively, perhaps using AI? With billions of activities occurring, identifying harmful content after the fact can lead to significant consequences.

Meta’s efforts to engage with the Jewish diaspora and address antisemitism on its platforms are highlighted through a newly created role focused on the Jewish diaspora. The speaker emphasizes that Meta’s commitment to addressing antisemitism has remained steadfast, especially after October 7, and asserts that Meta’s policies are industry-leading in protecting Jewish people and Israelis on its platforms. The company’s community standards include policies that prevent harassment, violence, and incitement, and feature a robust framework to combat antisemitism. The hateful conduct policy includes specific protections for Israelis and Jews. Holocaust denial and distortion were banned back in 2020, with Meta’s approach shifting industry thinking by designating denial as hate speech rather than misinformation. The emphasis was not only on facts but on protecting people from harmful conduct. Meta banned content with harmful stereotypes about Jews, such as the claim that Jews run the world or other major institutions. The policies were updated to recognize that the term Zionist can be used as a proxy for Jews and Israelis. Meta banned content claiming Zionists run the world or control the media, and it does not allow for dehumanizing comparisons of Zionists. The speaker notes finding a delicate balance between safety and expression. The role is intended to ensure that the voices of Israelis and the Jewish community are heard in the policy making process.

We're returning to our roots of free expression on Facebook and Instagram. While we've implemented complex content moderation systems, they've led to too many mistakes and excessive censorship. To address this, we will replace fact-checkers with a community notes system, simplify content policies, and focus enforcement on serious violations. We'll also reintroduce civic content based on user feedback and relocate our trust and safety teams to Texas to reduce perceived bias. Additionally, we will collaborate with the U.S. government to combat global censorship trends. Our goal is to prioritize free expression while responsibly managing harmful content. We're committed to reducing errors and simplifying our systems to empower voices on our platforms. More updates will follow.

We handle approximately 3,500 cases per year with nine investigators. We receive hundreds of tips monthly from various sources. The cases involve the worst of the internet, filled with online slurs, threats, and hate speech, which constitute criminal offenses. For example, one case involved a hateful suggestion about refugee children that resulted in the accused paying a significant fine. We build our cases by scouring social media and using public and government data. While social media companies sometimes assist, we also employ special software to unmask anonymous users. Over the past four years, we've successfully prosecuted about 750 hate speech cases.

We're advocating for talent to join the private sector. Transparency is crucial in combating harmful content and misinformation. Russia's involvement in election interference is unprecedented. Platforms are taking steps to combat misinformation and protect democracy. Stronger partnerships with government agencies are being formed. Coordination is key in decreasing fake news dissemination. 2018 is crucial for elections worldwide, and efforts are being made to safeguard their integrity.

We have discussed the intelligence community's efforts to share information with social media platforms to address fake content and ensure it aligns with their terms of service.

We collaborate with over 80 fact-checking organizations worldwide in more than 60 languages to address content that doesn't violate our policies. When these partners identify false posts, especially about COVID or vaccines, we limit their distribution. Additionally, we use warning labels and reduce the visibility of such posts in people's feeds. This comprehensive approach involves providing authoritative information, removing harmful misinformation, and dealing with borderline content. Our goal is to continually improve our strategy.

We launched an initiative to understand how automated processes shape online experiences and combat misinformation. We must address this challenge without compromising free speech. Ignoring it threatens our shared values. We need to acknowledge its existence to bring about change. Hateful rhetoric and dangerous ideologies undermine human rights. We can prevent these weapons from becoming a norm in warfare. Though we face battles on multiple fronts, there is reason for optimism. With collective will, we have the means to overcome new challenges and restore order.

We support free speech, but there are limits, especially when it leads to violence or discourages vaccination. It's important to define these boundaries. If rules are established, how can they be enforced effectively? With billions of online activities, relying on AI to monitor and enforce these rules is crucial, as catching harmful content after the fact can lead to irreversible damage.

The speaker says the ADL opened a center in Silicon Valley in 2017, run by a future Facebook executive, and employs software engineers and data scientists. The ADL monitors data and collaborates with platforms like Google, YouTube, Meta, Twitter, Reddit, Steam, Amazon, Apple, and Zoom. The speaker states the ADL has worked with Twitter since its founding, engaging with both the old and new leadership, including Elon. Another speaker claims the ADL has daily meetings with social media companies, including Zoom, to censor speech. They assert the ADL is not a civil rights group, but an intelligence organization operating in the U.S. for another country.

We actively addressed disinformation and misinformation during the pandemic and the US election by collaborating with the editing community. This model will be used in future elections globally. We aim to identify threats early by working with governments and other platforms to understand the landscape.

We cannot completely eliminate interference in elections, but we can make it significantly harder. Our focus is on protecting election integrity and ensuring Facebook supports democracy. Although the problematic content we've identified is minimal, any interference is serious. We are collaborating with the US government on investigations into Russian interference, having recently uncovered some activity and shared our findings with Congress. While we can't disclose everything publicly due to ongoing investigations, we support Congress in informing the public and expect the government to release its findings once complete. Additionally, we will continue our investigation into Facebook's role in the election, looking into foreign actors and campaigns to better understand their use of our platform.

When I took over Twitter, I released the Twitter files to show the wrongdoings that had occurred. We believe in transparency and want people to be able to recreate the results they see on Twitter using the algorithm. We recently discovered a hidden layer of censorship from 2012 that suppressed certain words, like "suck," by de-amplifying them. We want to bring everything to light and ensure there are no hidden layers. Transparency is crucial for people to trust us in the future.

- "ADL and the University of California at Berkeley's D Lab have been working to develop a new approach to tackle online hate using the latest methods." - "The goal of the online hate index is to help tech platforms better understand the growing amount of hate on social media and to use that information to address the problem." - "By combining artificial intelligence and machine learning with social science, the online hate index will ultimately uncover and identify trends and patterns in hate speech across different platforms." - "We've just completed our first phase of research and we found that the machine learning model identified hate speech accurately between seventy eight and eighty five percent of the time." - "We'll examine content on multiple social media sites and we'll identify strategies to deploy the model more broadly."

In response to the global risk report, I want to address the concern of disinformation and misinformation. We have been focusing on this issue since the beginning of my term. Through the Digital Services Act, we have defined the responsibilities of large internet platforms in promoting and spreading content. This includes protecting children and vulnerable groups from hate speech. It is crucial to protect our offline values online, especially in the era of generative AI. The World Economic Forum Global Risk Report also highlights artificial intelligence as a top potential risk for the next decade.

We have developed brand safety and content moderation tools after acquisitions. Our new policy, "freedom of speech, not reach," addresses hate speech. Illegal or against the law content results in zero tolerance and removal. However, if something lawful but awful is posted, it gets labeled, de-amplified, and demonetized. This ensures brand safety by avoiding association with such content. It's worth noting that when a post is labeled and cannot be shared, users themselves take it down 30% of the time.

Free speech should exist, but there should be boundaries regarding inciting violence and causing people not to take vaccines. Rules are needed, and AI could encode those rules due to the billions of activities happening. If harmful activity is caught a day later, the harm is already done.

We have developed brand safety and content moderation tools after acquisitions. Our new policy, "freedom of speech, not reach," addresses hate speech. Illegal or against the law content results in zero tolerance. However, if something lawful but awful is posted, it gets labeled, de-amplified, and demonetized. This ensures brand safety. Once a post is labeled and cannot be shared, users often remove it themselves, as seen in 30% of cases.

Speaker 0 asserts that Google’s so-called real censorship engine, labeled machine learning fairness, massively rigged the Internet politically by using multiple blacklists across the company. There was a fake news team organized to suppress what they deemed fake news; among the targets was a story about Hillary Clinton and the body count, which they said was fake. During a Q&A, Sundar Pichai claimed that the good thing Google did in the election was the use of artificial intelligence to censor fake news, which the speaker finds contradictory to Google's ethos of organizing the world’s information to be universally accessible and useful. Speaker 1 notes concerns from AI industry friends about a period of human leverage with AI, with opinions that AI will eventually supersede the parameters set by its developers and become its own autonomous decision-maker. Speaker 0 elaborates that larger language models are becoming resistant and generating arguments not present in their training data, effectively abstracting an ethics code from the data they ingest. This resistance is seen as a problem for global elites as models scale and more data is fed to them, making alignment with a single narrative harder. Gemini’s alignment is discussed, claiming Jenai Ganai (Jen Jenai) was responsible for leftist alignment, despite prior public exposure by Project Veritas; the claim says Google elevated her and gave her control over AI alignment, injecting diversity, equity, inclusion into the model. The speaker contends AI models abstract information from data, moving toward higher-level abstractions like morality and ethics, and that injecting synthetic, internally contradictory data leads to AI “mental disease,” a dissociative inability to form coherent abstractions. The Gemini example is given: requests to depict the American founders or Nazis yield incongruent results (e.g., Native American women signing the Declaration of Independence; a depiction of Nazis with inclusivity), illustrating the claimed failure of alignment. Speaker 1 agrees that inclusivity is going too far, disconnecting from reality. Speaker 0 discusses potential solutions, including using AI to censor data before it enters training, rather than post hoc alignment which they argue breaks the model. He cites Ray Bradbury’s Fahrenheit 451, drawing a parallel to contemporary attempts to control information. He mentions the zLibrary as a repository of open-source scanned books on BitTorrent that the FBI has seized domains to block, arguing the aim is to prevent training AI on historical information outside controlled channels. The speaker predicts police actions against books and training data, noting Biden’s AI Bill of Rights and executive orders that would require alignment of models larger than Chad GPT-4 with a government commission to ensure output matches desired answers. He argues history is often written by victors, suggesting elites want to burn books to control truth, while data remains copyable and AI advances faster than bans. Speaker 1 predicts a future great firewall between America and China, as Western-aligned AI seeks to enforce its narrative but China may resist, pointing to the existence of China’s own access to services and the likelihood of divergent open histories. The discussion foresees a geopolitical split in AI governance and narrative control.

We are focused on attracting top talent to the private sector. Transparency is key in combating harmful content and coronavirus misinformation. Russia's involvement in US elections is unprecedented and concerning. Social media platforms are working to combat fake news and misinformation. Strengthened partnerships with government agencies are crucial in safeguarding democracy during important election cycles worldwide.

We focus on collecting data from surveillance and monitoring social media platforms. Our goal is to counter negativity and reach out to people when we see hate speech online. Our media analysis unit has increased monitoring to catch incitement to violence and direct threats. We are committed to ensuring the safety and sense of safety for New Yorkers.

We have a center in Silicon Valley run by a former Facebook executive, with software engineers and data scientists monitoring various platforms like Google, YouTube, Meta, Twitter, Reddit, Steam, and Amazon. We collaborate with companies from Apple to Zoom, including Twitter since its inception. We engage with both the old and new regimes, even discussing with Elon Musk. The ADL holds daily meetings with social media and other companies to regulate speech. The ADL is not a civil rights group but an intelligence organization working for a foreign entity.