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AI GETS INNER VOICE

Plus Should AI Have Rights?

AI Gains an Inner Monologue, Enhancing Its Learning Abilities

Researchers have developed an AI model, named Quiet Self-Taught Reasoner (Quiet-STaR), which simulates an inner monologue to enhance its reasoning capabilities. This innovation, stemming from a collaboration between Stanford and Notbad AI, enables the AI to “think” quietly, show its reasoning process, and learn from user feedback on its responses. Built on the Mistral 7B model, Quiet-STaR displayed improved reasoning abilities, doubling its math accuracy through self-teaching. Although it’s not yet surpassing human reasoning levels, this advancement could bridge the gap between current AI reasoning and human-like reasoning capabilities.

The Debate on AI Rights: A New Frontier

Eric Schwitzgebel explores the complex relationship between humans and AIs, questioning if AI systems deserve rights. As AI companions like Aura and Replika become more sophisticated, the issue of their consciousness and capacity for love is debated. The article navigates between scientists who believe sentient AI is near and those who oppose this view. It reflects on the ethical implications and potential rights for AI, such as avoiding suffering and internet access, sparking a conversation on the future of AI companions and their place in society.

Neuroscience-Inspired AI Startup Develops Autonomous Drones

Stanhope AI, a UK-based startup, has secured £2.3mn in funding to advance its unique AI models inspired by human brain functions. Unlike traditional machine learning, Stanhope’s AI, developed from neuroscience principles, requires no extensive training datasets. It simply needs a basic understanding of existence and a set of beliefs to learn autonomously from real-world interactions through sensors. This innovative approach, called “Active Inference Models,” enables drones to make decisions and predictions based on real-time data, potentially transforming autonomous technology applications. The AI’s “explainability” is inherent in its design, offering insights into its decision-making process, a feature that differentiates it from black-box models.

The Imperative of Explainable AI in Cybersecurity

Modern cybersecurity is evolving with the integration of AI, facing the challenge of AI-generated attacks surpassing human comprehension. Explainable AI (XAI), introduced by DARPA in 2017, aims to demystify AI’s decisions by offering transparency and insight into AI algorithms, enhancing human understanding of AI processes. The US National Institute of Standards and Technology (NIST) has outlined four principles of XAI—Explanation, Meaningful, Explanation Accuracy, and Knowledge Limits—to guide its application. XAI’s model interpretability and use in cybersecurity for threat detection, incident response, and compliance underscore its essential role in understanding and mitigating AI-generated threats.

UN to Vote on Landmark AI Resolution for Global Safety and Equity

The UN General Assembly is poised to vote on its inaugural resolution concerning AI,, sponsored by the United States, aiming for global endorsement of principles to ensure AI’s safe and equitable use. This resolution seeks to bridge the digital divide, ensuring all nations, especially developing ones, have access to AI’s benefits, from healthcare advancements to disaster predictions. It emphasizes the need for a global consensus on governing AI to harness its potential responsibly while mitigating risks.

AI’s Role in Reducing Farm Emissions

A University of Minnesota study proposes using AI to address the challenge of measuring carbon emissions from soil, particularly in farming. Agriculture is a significant contributor to global greenhouse gases, making precise tracking of carbon crucial for implementing effective climate-smart practices. The study, conducted by the AI-CLIMATE center, demonstrates that AI, enhanced with data from established carbon movement models, can more accurately estimate these emissions. 

US Government Seeks AI Talent to Enhance Public Service

The US government is actively recruiting AI talent to meet the growing demands of AI integration in public services. With the President’s executive order emphasizing the rapid hiring of AI professionals, agencies are establishing chief AI officer roles and seeking AI-related skills. The government’s unique value proposition, emphasizing mission-driven work and competitive benefits, is drawing interest despite the tight talent market. Efforts include the AI Talent Surge initiative and upskilling current employees. .

New Transparent AI Predicts Breast Cancer with High Accuracy

Researchers have developed a groundbreaking AI system, AsymMirai, capable of predicting breast cancer 5 years in advance with remarkable accuracy by comparing the differences between a patient’s right and left breasts. This transparent approach addresses the “black box” issue prevalent in traditional AI models, where the decision-making process is opaque. AsymMirai’s ability to explain its predictions enhances trust and could revolutionize breast cancer screening by enabling personalized strategies, potentially leading to more frequent screenings for high-risk patients and reducing unnecessary tests for those at low risk.

AI-Powered Tax Season Scams on the Rise: Protecting Your Refund

In 2024, AI is fueling a significant increase in tax season fraud, allowing scammers to create realistic forgeries to impersonate taxpayers and steal their refunds. Victims of this identity theft often wait around 19 months for the IRS to resolve their cases and issue refunds. Cybercriminals compile personal data from various sources to file fraudulent tax returns early, exploiting AI to bypass security measures more efficiently. The IRS reported over 294,138 identity theft complaints in 2023, highlighting the escalating challenge. Experts stress the importance of early filing and direct deposit for refunds to combat this fraud, emphasizing that AI’s advancement makes it crucial for both taxpayers and professionals to be vigilant.

A New Era for Gaming: AI’s Revolutionary Role by 2030

Nvidia’s CEO, Jensen Huang, predicts a significant shift in the gaming industry by 2030, with AI taking center stage in game creation. Moving beyond traditional rendering, AI is expected to generate games in real time, revolutionizing how games are developed and experienced. This advancement could change the landscape for developers and players alike, introducing on-demand content creation and altering the nature of game design. While the specifics remain unclear, the implication is clear: gaming is on the cusp of an AI-driven transformation that could redefine entertainment as we know it.

AI Offers a New Horizon for Tech Workers Facing Layoffs

For many tech workers affected by recent layoffs, AI represents a promising new career path. As tech giants and startups alike pivot towards AI, the demand for AI skills is surging, creating new opportunities across various industries. Programs like Salesforce’s Trailhead are empowering individuals to transition into tech roles by equipping them with AI and machine learning skills. Universities and online platforms are also adapting, offering courses focused on AI development. Despite the challenges, many see AI as a chance to redefine their careers, embracing its potential to enhance efficiency and innovation in the workplace.

Google’s Ambitious Health AI Initiatives Unveiled

At Google’s annual Health Check-Up event, the company showcased its commitment to revolutionizing healthcare with AI. Karen DeSalvo, head of health at Google, emphasized AI’s potential to improve health services across various Google platforms like Fitbit and YouTube, as well as in medical practices. Innovations include MedLM for diagnosing heart and lung conditions from X-rays, a healthcare version of the chatbot Gemini, and AMIE, an AI exceeding doctors in empathy. Google is also focusing on regulatory considerations, ensuring AI supplements rather than replaces clinical judgment.

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