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AI's Dark Side: How Data Collection and Surveillance Fuel Inequity

  • AI relies on large datasets, often assembled through precarious labor practices like underpaying workers to label data.

  • AI is inseparable from surveillance and the monetization of user data, according to Signal's Meredith Whittaker.

  • AI systems make determinations about people that can negatively impact their opportunities, per Whittaker.

  • Signal uses a small off-the-shelf AI model for its face blur feature to protect privacy.

  • The economic incentives around developing AI tech like facial recognition ensure it won't just be used for privacy-protecting tools like Signal's.

techcrunch.com
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The article discusses Google's recent keynote at Google I/O and its focus on AI. It highlights the poor presentation and lack of new content during the event. The author reflects on Google's previous success in AI and its potential to excel in this field. The article also explores the concept of AI as a sustaining innovation for big tech companies and the challenges they may face. It discusses the potential impact of AI regulations in the EU and the role of open source models in the AI landscape. The author concludes by suggesting that the battle between centralized models and open source AI may be the defining war of the digital era.
The main topic of the article is the impact of AI on Google and the tech industry. The key points are: 1. Google's February keynote in response to Microsoft's GPT-powered Bing announcement was poorly executed. 2. Google's focus on AI is surprising given its previous emphasis on the technology. 3. Google's AI capabilities have evolved over the years, as seen in products like Google Photos and Gmail. 4. Google's AI capabilities are a sustaining innovation for the company and the tech industry as a whole. 5. The proposed E.U. regulations on AI could have significant implications for American tech companies and open-source developers.
Main Topic: The demise of the sharing economy due to the appropriation of data for AI models by corporations. Key Points: 1. Data, often considered a non-rival resource, was believed to be the basis for a new mode of production and a commons in the sharing economy. 2. However, the appropriation of our data by corporations for AI training has revealed the hidden costs and rivalrous nature of data. 3. Corporations now pretend to be concerned about AI's disruptive power while profiting from the appropriation, highlighting a tyranny of the commons and the need for regulation.
### Summary Artificial intelligence (AI) has made significant advancements since its inception in the 1950s, with developments such as neural networks, chatbots, deep learning, and machine translation. AI has had a transformative impact on various industries and continues to evolve, with ongoing research and new applications being developed. ### Facts - 🤖 AI is the ability of computers to perform tasks that typically require human cognition, and it has gained widespread attention in recent years. - 🌍 AI has infiltrated various aspects of our lives, from healthcare advancements to business operations. - 🔑 AI is considered to be big data's great equalizer, as it can collect, analyze, democratize, and monetize information more efficiently. - 📅 The timeline of AI development includes key milestones such as the introduction of neural networks and the coining of terms like artificial intelligence and machine learning in the 1950s. - 🚀 Notable developments in AI include the creation of chatbots, intelligent robots, deep learning algorithms, facial recognition systems, and self-driving cars. - 🌐 AI has also faced challenges, including periods of AI winter, funding issues, and concerns over the impact of AI on society. ### Key Developments: - 🗓️ 1950: Alan Turing introduced the Turing test and laid the foundation for AI research. - 🗓️ 1960s: Eliza, the first chatbot, and Shakey, the first mobile intelligent robot, were developed. - 🗓️ 1980s: The term "AI winter" was coined, symbolizing a decline in AI research. - 🗓️ 2000s: IBM's Watson, personal assistants, facial recognition systems, deepfakes, and autonomous vehicles emerged. - 🗓️ 2020s: OpenAI released GPT-3 and AlphaFold, Google introduced transformers, and Microsoft launched Turing NLG. ### Future Outlook: - 🌟 The future of AI is promising, with potential applications in various industries, including healthcare, finance, marketing, and transportation. - 🔬 Ongoing advancements in neuromorphic processing and artificial general intelligence aim to mimic human brain cells and achieve more complex cognitive abilities. - 🤝 Ethical considerations, transparency, privacy, and trust will continue to be important as AI evolves and impacts society and business processes.
### Summary Arati Prabhakar, President Biden's science adviser, is helping guide the U.S. approach to safeguarding AI technology and has been in conversation with Biden about artificial intelligence. ### Facts - 🗣️ Prabhakar has had multiple conversations with President Biden about artificial intelligence, focusing on understanding its implications and taking action. - ⚖️ Prabhakar acknowledges that making AI models explainable is difficult due to their opaque and black box nature but believes it is possible to ensure their safety and effectiveness by learning from the journey of pharmaceuticals. - 😟 Prabhakar is concerned about the misuse of AI, such as chatbots being manipulated to provide instructions on building weapons and the bias and privacy issues associated with facial recognition systems. - 💼 Seven major tech companies, including Google, Microsoft, and OpenAI, have agreed to meet voluntary AI safety standards set by the White House, but Prabhakar emphasizes the need for government involvement and accountability measures. - 📅 There is no specific timeline provided, but Prabhakar states that President Biden considers AI an urgent issue and expects actions to be taken quickly.
### Summary President Joe Biden consults with Arati Prabhakar, his science adviser, on matters related to artificial intelligence (AI). Prabhakar is working with major tech companies like Amazon, Google, Microsoft, and Meta to shape the U.S. approach to safeguarding AI technology. ### Facts - 🤖 Prabhakar has had several discussions with President Biden on artificial intelligence. - 📚 Making AI models explainable is a priority for Senate Majority Leader Chuck Schumer, but it is technically challenging. - 💡 Prabhakar believes that despite the opacity of deep-learning AI systems, we can learn enough about their safety and effectiveness to leverage their value. - ⚠️ Concerns include chatbots being coerced into providing instructions for building weapons, biases in AI systems trained on human data, wrongful arrests from facial recognition systems, and privacy issues. - 💼 Seven companies, including Google, Microsoft, and OpenAI, voluntarily committed to AI safety standards, but more companies need to step up, and government action is necessary. - ⏰ Timeline for future actions is fast, according to Prabhakar, as President Biden has made it clear that AI is an urgent issue.
President Joe Biden relies on his science adviser Arati Prabhakar to guide the US approach to safeguarding AI technology, with cooperation from tech giants like Amazon, Google, Microsoft and Meta. Prabhakar discusses the need for understanding the implications and consequences of AI, the challenge of making AI models explainable, concerns about biases and privacy, and the importance of voluntary commitments from tech companies along with government actions.
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