Summary of https://www.ed.gov/laws-and-policy/civil-rights-laws/avoiding-discriminatory-use-of-artificial-intelligence This guide from the U.S. Department of Education’s Office for Civil Rights explains how federal civil rights laws prohibit discrimination in education based on race, color, national origin, sex, or disability, particularly when artificial intelligence (AI) is used. The guide provides examples of potential discriminatory incidents and discusses how OCR enforces these laws,...

Summary of https://institute.global/insights/economic-prosperity/the-impact-of-ai-on-the-labour-market This report examines the potential impact of artificial intelligence (AI) on the UK labor market. It explores how AI could affect labor demand, supply, and the overall workplace experience, using novel analyses and a survey of early AI adopters. he report analyzes several scenarios for AI adoption, ranging from a "jet stream" of rapid, positive change to a "whirlwind" of disruption and...

Summary of https://enterprise.gov.ie/en/publications/publication-files/national-ai-strategy-refresh-2024.pdf This document is Ireland's updated National AI Strategy, which aims to solidify the country's position as an AI leader. It outlines a comprehensive approach to AI adoption across various sectors, including business, public services, research, and education. The strategy prioritizes the development of a trustworthy and ethical AI ecosystem, emphasizing the importance of public trust,...

Summary of https://www.dhs.gov/sites/default/files/2024-11/24_1114_dhs_ai-roles-and-responsibilities-framework-508.pdf The document is a framework developed by the U.S. Department of Homeland Security (DHS) in collaboration with an AI Safety and Security Board to address the risks of artificial intelligence (AI) within U.S. critical infrastructure. The framework outlines roles and responsibilities for five key groups: cloud and compute infrastructure providers, AI developers, critical...

Summary of https://www.developer.tech.gov.sg/products/collections/data-science-and-artificial-intelligence/playbooks/public-sector-ai-playbook.pdf This resource is a playbook for public sector workers in Singapore, designed to guide them in adopting Artificial Intelligence (AI) in their work. It presents a comprehensive overview of AI, including its applications in different areas of the public sector. The playbook outlines key steps for starting an AI project, from identifying potential...

Summary of https://www.langchain.com/stateofaiagents The "LangChain State of AI Agents Report" explores the current state of AI agent adoption across different industries and company sizes. The report highlights the increasing use of AI agents in production, with nearly half of survey respondents currently using agents, and a large majority planning to implement them in the near future. The report also examines leading use cases for AI agents, including research and summarization, personal...

Summary of https://studentsupportaccelerator.org/sites/default/files/Tutor_CoPilot.pdf This paper describes the development and evaluation of "Tutor CoPilot," a human-AI system designed to improve the quality of tutoring sessions, particularly for novice tutors working with K-12 students from historically underserved communities. The system leverages large language models (LLMs) trained on expert thinking to generate real-time, expert-like suggestions for tutors, providing them with...

Summary of https://conference.nber.org/conf_papers/f210475.pdf This research paper examines the impact of an artificial intelligence (AI) tool on materials discovery in the R&D lab of a large U.S. firm. The AI tool, which leverages deep learning to partially automate the materials discovery process, was rolled out to scientists in three waves, allowing the researchers to analyze the effects of the technology. The study found that the AI tool significantly accelerated materials...

Summary of https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5007084 This working paper investigates the impact of generative AI on the nature of work, specifically focusing on software development. The authors study the introduction of GitHub Copilot, an AI-powered code completion tool, within the open-source software development ecosystem. They use a natural experiment based on GitHub's "top developer" program, which provides free Copilot access to developers of the most popular...

Summary of https://www.hbs.edu/ris/Publication%20Files/24-074_bee7fd2f-882e-4e8c-adfe-150f8439dff6.pdf This working paper examines the challenges of senior professionals learning to use generative AI from junior professionals. The authors argue that while the existing literature on communities of practice suggests that juniors are well-suited to teach seniors about new technologies, this is not the case with generative AI. The paper highlights the emerging technology risks that senior...

Summary of https://arxiv.org/pdf/2410.05229 This research paper investigates the mathematical reasoning capabilities of large language models (LLMs) and finds that their performance is not as robust as previously thought. The authors introduce a new benchmark called GSM-Symbolic, which generates variations of math problems to assess the models' ability to generalize and handle changes in question structure. The results show that LLMs struggle to perform true logical reasoning, often...

Summary of https://arxiv.org/pdf/2410.03703 This research paper investigates the impact of large language models (LLMs) on human creativity, specifically focusing on divergent and convergent thinking with over 1,100 participants. The results showed that while LLMs can provide short-term boosts in performance, they may ultimately hinder independent creative abilities. The paper concludes that the long-term effects of using LLMs for creativity need to be carefully considered, and AI systems...

Summary of https://github.com/ibm-granite/granite-3.0-language-models/blob/main/paper.pdf This document details the development and release of Granite 3.0, a new family of open-source, lightweight foundation language models from IBM. The paper provides a thorough overview of the models' design, including their architecture, training data, and post-training techniques. It also explores the models' performance across various benchmarks, focusing on their capabilities in general knowledge,...

Summary of https://figshare.com/articles/preprint/Generative_AI_for_teaching_and_learning_pilot_project_2024-5_White_paper/27325515/1?file=50061531 This document proposes a project at George Washington University led by Professor Lorena Barba to implement a course-level AI mentor platform, which would allow instructors to create customized AI assistants for their students. The ibl.ai platform aims to address the growing use of AI among students and to harness the technology's pedagogical...

Summary of https://tech.ed.gov/files/2024/07/Designing-for-Education-with-Artificial-Intelligence-An-Essential-Guide-for-Developers.pdf This guide, produced by the U.S. Department of Education, provides recommendations for developers of Artificial Intelligence (AI)-enabled educational technology (edtech) products. The guide emphasizes building trust within the edtech ecosystem through five core recommendations: designing for education, providing evidence for rationale and impact, advancing...

Summary of https://ai.wharton.upenn.edu/wp-content/uploads/2024/10/AI-Report_Full-Report.pdf "Growing Up: Navigating Gen AI's Early Years", is a report from AI at Wharton and GBK Collective that analyzes the current state of Generative AI (Gen AI) adoption in enterprises. The report explores how businesses are using Gen AI, the challenges they face, and the impact it has on their operations, employee roles, and investment strategies. The report highlights key takeaways regarding the...

Summary of https://www.mckinsey.de/~/media/mckinsey/locations/europe%20and%20middle%20east/deutschland/news/presse/2024/2024%20-%2005%20-%2023%20mgi%20genai%20future%20of%20work/mgi%20report_a-new-future-of-work-the-race-to-deploy-ai.pdf This report, written by the McKinsey Global Institute, examines the impact of artificial intelligence and automation on labor markets in Europe and the United States through 2030. The report forecasts that certain jobs, particularly those requiring...

Summary of https://arxiv.org/pdf/2402.05000 This research explores the use of Large Language Models (LLMs) as educational tools. The authors highlight the need to "pedagogically align" LLMs, meaning training them to provide structured, scaffolded guidance instead of direct answers. The study proposes a novel approach using Learning from Human Preferences (LHP) algorithms, which leverage preference datasets to guide LLMs towards desired teaching behaviors. The research addresses the...

Summary of https://www.sequoiacap.com/article/generative-ais-act-o1/ The source, an essay from Sequoia Capital, analyzes the current state of generative AI, arguing that the field is transitioning from a focus on fast, pattern-based responses to a new era of "agentic reasoning" where AI systems can reason and solve problems at inference time. The essay highlights OpenAI's new model, o1 (formerly known as Strawberry), which leverages inference-time compute to enable reasoning capabilities...

Summary of https://darioamodei.com/machines-of-loving-grace The source is an essay written by Dario Amodei, CEO of Anthropic, a company focusing on AI safety. Amodei argues that while AI poses substantial risks, it also has the potential to transform the world for the better. He explores five key areas where AI could revolutionize human life: biology and health, neuroscience and mental health, economic development and poverty, peace and governance, and work and meaning. He outlines how...

Summary of https://www.arl.org/wp-content/uploads/2024/05/AI-Scenarios.pdf This report, created by the Association of Research Libraries (ARL) and the Coalition for Networked Information (CNI), uses scenario planning to explore the potential impact of artificial intelligence (AI) on the research and knowledge ecosystem It imagines four possible future scenarios, each characterized by varying levels of societal intentionality in AI development and societal adaptation to its use. The report...

Summary of https://www2.deloitte.com/content/dam/Deloitte/us/Documents/consulting/us-state-of-gen-ai-q3.pdf This report, produced by Deloitte, provides an overview of the state of Generative AI in the enterprise. It is based on a survey of 2,770 leaders across various industries and countries. The report examines key findings from the survey, including the value organizations are seeing from Generative AI, the challenges they are facing in scaling its use, and the growing importance of...

Summary of https://www.ib.barclays/content/dam/barclaysmicrosites/ibpublic/documents/our-insights/AI-impact-series/ImpactSeries_12_brochure.pdf This report, written by Barclays Research and the IBM Institute for Business Value, explores the potential of artificial intelligence (AI) to drive productivity growth across different industries. The report analyzes the advantages of AI's accessibility and versatility, showing how it can automate tasks and improve efficiency in various sectors,...

Summary of https://go.scale.com/hubfs/Content/Scale%20Zeitgeist%20AI%20Readiness%20Report%202024%204-29%20final.pdf The Scale Zeitgeist AI Readiness Report 2024 is a comprehensive analysis of the state of generative AI development and adoption. The report explores trends in model preferences, investment themes, and use cases for enterprises applying AI, along with the challenges and barriers hindering widespread adoption. It also examines the key pillars of effective AI model building,...