Brian Carter’s Post

#AI Can Now Replicate Your Personality In Just Two Hours! 🤯 Imagine this: a two-hour chat with an AI interviewer exploring your memories, values, and beliefs. The result? A #digitaltwin of you that mirrors your personality with 85% accuracy, according to groundbreaking research from #Stanford and #Google #DeepMind. These “#simulationagents” are poised to revolutionize social science, helping researchers test ideas that would be too costly or impractical with real participants. From understanding online misinformation to traffic behavior, the possibilities are endless. These #digital #replicas can preserve your voice, preferences, and even conversational style. Yeah we are becoming digital immortal !! But this power comes with risks: what if your #digitaltwin is misused? As we unlock the potential of AI to simulate us, we must also ensure it’s used responsibly. Some #ethical questions: • Who owns the replica? • How do we protect this technology from misuse? With AI we are basically redefining #identity and #legacy in the digital age. Would you let an AI create your #personality twin?

My latest piece in VentureBeat is below. It connects recent Big Tech announcements around AI Agents with the growing risk of AI manipulation. It's funny, the first mainstream piece I wrote about 𝐀𝐈 𝐌𝐚𝐧𝐢𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 was back in 2016 in Futurism (https://lnkd.in/gRg6_ZK4). Back then, the risks seemed very real to me, but were perceived as speculative dangers for the future. With the announcements this week from Open AI and Google, it seems clear that 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐡𝐚𝐬 𝐚𝐫𝐫𝐢𝐯𝐞𝐝. It's time for regulators to finally address the risks of interactive conversational manipulation. I say this as someone who is a big fan of the technologies that Open AI, Google, and others are deploying. There is extreme potential for positive uses. But we need to guard against real-time interactive manipulation. I explain why in the piece below. Unanimous AI GatherVerse David Baltaxe Joshua Sitzer Avi Bar-Zeev Brittan Heller Virtual World Society Alvin Wang Graylin AWE hashtag #ethicalai https://lnkd.in/gcbUzc9K

My latest piece in VentureBeat is below. It connects recent Big Tech announcements around AI Agents with the growing risk of AI manipulation. It's funny, the first mainstream piece I wrote about 𝐀𝐈 𝐌𝐚𝐧𝐢𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 was back in 2016 in Futurism (https://lnkd.in/gRg6_ZK4). Back then, the risks seemed very real to me, but were perceived as speculative dangers for the future. With the announcements this week from Open AI and Google, it seems clear that 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐡𝐚𝐬 𝐚𝐫𝐫𝐢𝐯𝐞𝐝. It's time for regulators to finally address the risks of interactive conversational manipulation. I say this as someone who is a big fan of the technologies that Open AI, Google, and others are deploying. There is extreme potential for positive uses. But we need to guard against real-time interactive manipulation. I explain why in the piece below. Unanimous AI GatherVerse David Baltaxe Joshua Sitzer Avi Bar-Zeev Brittan Heller Virtual World Society Alvin Wang Graylin AWE hashtag #ethicalai https://lnkd.in/gcbUzc9K

The Conversational Media Era has officially begun. Brands have a new level of capability and responsibility to be authentic and transparent. We can’t use previous unethical behavior to accuse of future acts, but given what social media brought and the current actions of capturing our data (see slack’s new data gathering opt out option as just today’s latest example), we know this will take regulation, not competition, to save us from our AI’s. But while that’s going through the system, what are you doing to keep your AI on the right side of history? #brandtherapy

The use of AI to replicate and simulate human personalities opens up enormous scientific opportunities: from the ability to study human behavior to improving therapies and creating more empathetic and personalized interactions. However, the risk of instrumental use by companies is equally significant. Increasingly accurate simulations could be used to influence and manipulate consumer decisions with unprecedented precision. The idea of predicting reactions to products or advertising campaigns is not new: giants like Meta and Google already use advanced systems to personalize advertisements by analyzing behaviors and collected data. However, integrating AI with personality modeling takes this practice to a new level, paving the way for genuine psychological surveillance.

My latest piece in VentureBeat is below. It connects recent Big Tech announcements around AI Agents with the growing risk of AI manipulation. It's funny, the first mainstream piece I wrote about 𝐀𝐈 𝐌𝐚𝐧𝐢𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 was back in 2016 in Futurism (https://lnkd.in/gRg6_ZK4). Back then, the risks seemed very real to me, but were perceived as speculative dangers for the future. With the announcements this week from Open AI and Google, it seems clear that 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐡𝐚𝐬 𝐚𝐫𝐫𝐢𝐯𝐞𝐝. It's time for regulators to finally address the risks of interactive conversational manipulation. I say this as someone who is a big fan of the technologies that Open AI, Google, and others are deploying. There is extreme potential for positive uses. But we need to guard against real-time interactive manipulation. I explain why in the piece below. Unanimous AI GatherVerse David Baltaxe Joshua Sitzer Avi Bar-Zeev Brittan Heller Virtual World Society Alvin Wang Graylin AWE #ethicalai https://lnkd.in/gcbUzc9K

 Why Generative AI on Social Media Might Be a Bad Idea Authenticity at Risk: Generative AI could rob social media of its genuine, real-time interactions, replacing them with algorithm-crafted posts. Privacy Concerns: With generative AI, the risks to user privacy could escalate, potentially leading to the next big privacy scandal. Misinformation Explosion: The spread of fake news could become even more rampant, with AI generating convincing yet false content. User Confusion: Not everyone can handle generative AI effectively. It's more than just typing a prompt and clicking "post." Quality vs. Quantity Time: While generative AI might increase screen time, it begs the question: is it truly enriching? Social media platforms should focus on enhancing their core features instead of blindly following tech trends. What do you think? Share your thoughts below Like this post? Follow us for more insights and tech updates #generativeai #socialmedia #techdebate #dailytechnews #techlabgeek

HEMANTH LINGAMGUNTA Exploring the Spectrum of Intelligence in AI Systems Google OpenAI Artificial Intelligence (AI) isn't just about processing data; it's about replicating various facets of human intelligence. Here's a brief look at the different types of intelligence integrated into AI: 1. Intelligence Quotient (IQ): - Focus: Analytical and problem-solving capabilities. - Applications: Tasks requiring logical reasoning and pattern recognition. 2. Spiritual Quotient (SQ): - Focus: Ethical and moral decision-making. - Applications: AI systems that need to align with ethical guidelines. 3. Emotional Quotient (EQ): - Focus: Emotional understanding and interaction. - Applications: Enhances user experience in customer service, education, and mental health. 4. Adversity Quotient (AQ): - Focus: Resilience and adaptability in challenging situations. - Applications: Valuable in autonomous systems and strategic planning. 5. Physical Quotient (PQ): - Focus: Physical interaction with environments. - Applications: Robotics, VR, and any task involving physical manipulation. 6. Consciousness Quotient (CQ): - Focus: Self-awareness and understanding of existence. - Applications: Aims to make AI systems more self-aware. 7. Moral Quotient (MQ): - Focus: Ethical decision-making. - Applications: Sectors requiring ethical considerations like healthcare and law. 8. Digital Quotient (DQ): - Focus: Digital competence and technological adaptability. - Applications: Essential for AI in digital environments, enhancing cybersecurity and digital transformation. Integration for Advanced AI By combining these intelligence types: - Complex tasks are better managed with high IQ and AQ. - Ethical decisions are supported by MQ and SQ. - Empathetic interactions are enabled by EQ. - Physical engagement benefits from PQ. This comprehensive approach is crucial for the development from Artificial Narrow Intelligence (ANI) towards Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI), making AI not only technologically advanced but also capable of nuanced and ethical interactions with humans. "AI is expanding into realms of human-like intelligence. From IQ for problem-solving to EQ for empathetic interactions, AI systems are becoming more multifaceted. This post delves into how integrating IQ, SQ, EQ, AQ, PQ, CQ, MQ, and DQ can revolutionize AI, pushing the boundaries towards AGI and ASI. How can we develop AI to not just automate but ethically and empathetically interact with our world? #AI #Intelligence #Ethics #Innovation"

Would you want to have a collection of mini me’s? It is now possible. Courtesy of AI, and with a short two hour interview, researchers at Stanford and Google’s DeepMind were able to create 1,000 replicas of actual people! The research team recruited people and paid them up to $100 for the two hours of their time. They were able to create agent replicas of the participants based on the information. The AI agents were given personality tests, social surveys and logic games that were also completed by the real people and the AI agent’s answers were 85% similar. Using simulation agents would make it easier and less costly for researchers in fields like social sciences to conduct studies. Obviously, there are issues with the creation of these simulation agents, including abusive deep fakes, creation without consent and privacy issues. It won’t be long before we see this application out in the wild. And regulation to provide some type of guardrails is nowhere to be found in the U.S. If someone wants to interview you or invites you on a sketchy podcast, you might now want to think twice about how that information might be used. #ai #artificialintelligence #marketing https://lnkd.in/gjnQ3enS

New research from Stanford and Google DeepMind shows AI can replicate your values and preferences with 85% accuracy after a simple two-hour interview. This opens doors to creating "digital twins" for research, decision-making, and more. These "simulation agents" could transform social science by enabling studies that are too expensive, impractical, or even unethical with real humans. Think testing misinformation strategies or traffic behaviors—without involving actual people. Forget large datasets—this method suggests short, personalized interviews can efficiently capture human complexity. As simulation agents become more sophisticated, we’re inching closer to AI models that mirror human thought and decision-making. For AI companies, the challenge is to balance innovation with robust safeguards to prevent misuse. >> https://buff.ly/492EiU3 #AIInnovation #AI #ML #LLM #AIModels #DigitalTwins #AIResearch #EthicalAI #AIApplications #FutureOfAI #AIEthics #ArtificialIntelligence #HumanCenteredAI #AIForGood