AI guardrails help ensure that an organization’s AI tools, and their application in the business, reflect the organization’s standards, policies, and values.But just as guardrails on the highway don’t eliminate the risk of injuries or fatalities, AI guardrails don’t guarantee that AI systems will be completely safe, fair, compliant, and ethical. For the best results, companies can implement AI guardrails along with other procedural controls (for example, AI trust frameworks, monitoring and compliance software, testing and evaluation practices), as well as a proper AI operations technology stack, which scales the governance of AI across an organization.
Saturday, November 30, 2024
Readers can’t accurately distinguish between AI and human essays, researchers find - Anya Geist, Yale Daily News
In a project organized by four researchers, including three from the School of Medicine, researchers tasked readers with blindly reviewing 34 essays, 22 of which were human-written and 12 which were generated by artificial intelligence. Typically, they rated the composition and structure of the AI-generated essays higher. However, if they believed an essay was AI-generated, they were less likely to rank it as one of the overall best essays. Ultimately, the readers only accurately distinguished between AI and human essays 50 percent of the time, raising questions about the role of AI in academia and education.
Friday, November 29, 2024
The Impact of Using Artificial Intelligence Techniques in Improving The Quality of Educational Services /Case Study at The University of Baghdad (Provisionally accepted) - Namaa Fargan, et al; Frontiers in Education
The utilization of artificial intelligence techniques has garnered significant interest in recent research due to their pivotal role in enhancing the quality of educational offerings. This study investigated the impact of employing artificial intelligence techniques on improving the quality of educational services, as perceived by students enrolled in the College of Pharmacy at the University of Baghdad. The study sample comprised 379 male and female students. A descriptive-analytical approach was used, with a questionnaire as the primary tool for data collection. The findings indicated that the application of artificial intelligence methods was highly effective, and the educational services provided to students were of exceptional quality. The results also showed a strong correlation (correlation coefficient of 0.719) between the use of artificial intelligence techniques and the quality of educational services.
AI policy directions in the new Trump administration - John Villasenor and Joshua Turner, Brookings
The new administration will likely relax agency regulation, focus more on competition with China, and decrease AI-related antitrust enforcement, among other possibilities. Although predicting technological progress is difficult, the next four years will bring some unexpected developments in AI, and effectively stewarding this extraordinary technology will require a nimble and balanced set of federal policy responses.
Thursday, November 28, 2024
Scale Is All You Need? Part 4-3: The Post-AGI-World - Kim Isenberg, Forward Future
“If AGI is successfully created, this technology could help us elevate humanity by increasing abundance, turbocharging the global economy, and aiding in the discovery of new scientific knowledge that changes the limits of possibility.” -OpenAI
This could give rise to a new kind of culture, one that differs greatly from today's ideals and values, since many of our basic assumptions – such as the value of academic achievements and political decision-making – will be challenged by the capabilities and possibilities of AI. And last but not least, human hubris will erode as we realize that our own species may not be the most intelligent on Earth and that even an artificial intelligence far surpasses our own intelligence.
AI News: New FREE AI Challenges ChatGPT! -- Matt Wolfe, YouTube
OpenAI is rolling out advanced voice mode to the web for ChatGPT Plus users, and GPT-4 has been updated with improved creative writing abilities. Anthropic's Claude now allows direct document uploads from Google Drive, and Google's Gemini has added a memory feature. YouTube is introducing automatic dubbing in multiple languages for creators. DeepSeek's new model, R1 light preview, rivals OpenAI's Q* in logical reasoning, while French company Mistral offers a free chatbot, Le Chat, with features comparable to paid versions of ChatGPT and Claude. Microsoft has partnered with Harper Collins to train AI models on books and launched its "recall" feature for Co-pilot PCs. Elon Musk predicts AGI by 2026, and Google DeepMind's AlphaCubit uses AI to improve Quantum Computing accuracy. (summary generated by GenAI)
Wednesday, November 27, 2024
A.I. Chatbots Defeated Doctors at Diagnosing Illness - Gina Colata, NY Times
Dr. Adam Rodman, an expert in internal medicine at Beth Israel Deaconess Medical Center in Boston, confidently expected that chatbots built to use artificial intelligence would help doctors diagnose illnesses. He was wrong. Instead, in a study Dr. Rodman helped design, doctors who were given ChatGPT-4 along with conventional resources did only slightly better than doctors who did not have access to the bot. And, to the researchers’ surprise, ChatGPT alone outperformed the doctors. The chatbot, from the company OpenAI, scored an average of 90 percent when diagnosing a medical condition from a case report and explaining its reasoning. Doctors randomly assigned to use the chatbot got an average score of 76 percent. Those randomly assigned not to use it had an average score of 74 percent.
AI vs. Labor Unions: The Future of Work in the Age of Automation - Curt del Principe, HubSpot
Unlike knitting machines, which have a fairly niche use, there are few industries that AI can’t touch. Its ability to analyze data or create customized content at scale in mere seconds makes these tools unlike any tech revolution that’s come before. Suddenly, AI appears in everything from accounting to zookeeping. In fact, around 80% of US workers could have at least 10% of their tasks impacted by LLMs, according to a study by the University of Pennsylvania and OpenAI. (And it’s worth pointing out that LLMs are just one type of AI in the new pantheon driving the AI boom. That 80% figure isn’t even counting tasks that can be done by audio, video, or imaging tools.) The question is no longer, “Will AI impact my job?” but “How will AI impact my job?”
Tuesday, November 26, 2024
Agentic AI: 6 promising use cases for business - Grant Gross, CIO
AI agents will play a vital role in software programming and cybersecurity, but they will also change enterprise workflows and business intelligence, experts say. Agentic AI, which Forrester named a top emerging technology for 2025 in June, takes generative AI a step further by emphasizing operational decision-making rather than content generation. With AI agents popping up in so many situations and platforms, organizations interested in the technology may find it difficult to know where to start. A handful of use cases have so far risen to the top, according to AI experts.
AI is already taking jobs, research shows. Routine tasks are the first to go - Mark Sullivan, Fast Company
Researchers from Harvard Business School, the German Institute for Economic Research, and Imperial College London Business School studied 1,388,711 job posts on a major (but undisclosed) global freelance work marketplace from July 2021 to July 2023, and found that demand for such automation-prone jobs had fallen 21% just eight months after the release of ChatGPT in late 2022. Writing jobs were most affected, followed by software, app, and web development work, as well as engineering jobs. The large language models that underpin tools like ChatGPT are trained on large amounts of text to predict the most likely next word in a sequence.
Monday, November 25, 2024
The Third Wave Of AI Is Here: Why Agentic AI Will Transform The Way We Work - Bernard Marr, Forbes
The chess pieces of artificial intelligence are being dramatically rearranged. While previous iterations of AI focused on making predictions or generating content, we're now witnessing the emergence of something far more sophisticated: AI agents that can independently perform complex tasks and make decisions. This third wave of AI, known as 'agentic AI,' represents a fundamental shift in how we think about and interact with artificial intelligence in the workplace.
Social Media Fact Sheet - Pew Research Center
Many Americans use social media to connect with one another, engage with news content, share information and entertain themselves. Explore the patterns and trends shaping the social media landscape.
YouTube and Facebook are the most-widely used online platforms. Half of U.S. adults say they use Instagram, and smaller shares use sites or apps such as TikTok, LinkedIn, X (formerly Twitter) and Snapchat.
Sunday, November 24, 2024
The next massive upgrade to ChatGPT is coming in January - Andrew Tarantola, Digital Trends
OpenAI is set to launch a new AI agent in January, code-named Operator, that will enable ChatGPT to take action on the user’s behalf. You may never have to book your own flights ever again. AI agents differ significantly from traditional programs. Rather than follow a set of predefined instructions, agents can autonomously perceive their environment, process information, and make decisions to perform tasks or solve problems, such as generating complex computer code or booking travel arrangements. Anthropic recently released its Computer Control feature, which enables the model to manipulate a desktop environment in the same way human users would. Microsoft similarly unveiled its AI agent feature in late October. It’s designed to handle monotonous office work like managing employee records and drafting emails. Google is also working on AI agents of its own, code-named Jarvis, and could preview it by the end of the year.
What is retrieval-augmented generation (RAG)? - McKinsey
Retrieval-augmented generation, or RAG, is a process applied to LLMs to make their outputs more relevant in specific contexts. RAG allows LLMs to access and reference information outside the LLMs own training data, such as an organization’s specific knowledge base, before generating a response—and, crucially, with citations included. This capability enables LLMs to produce highly specific outputs without extensive fine-tuning or training, delivering some of the benefits of a custom LLM at considerably less expense.
Saturday, November 23, 2024
Sam Altman is Predicting AGI in 2025- Matt Wolfe, YouTube
Sam Altman, CEO of OpenAI, has hinted that Artificial General Intelligence (AGI) could be a reality in 2025. In a recent interview, when asked what he was most excited about for 2025, Altman simply replied "AGI," suggesting that he believes AGI will be achieved by then. However, the video host points out that there's no universally accepted definition of AGI, which could lead to disagreements on when it's actually achieved, even if OpenAI declares it has reached that milestone. (summary provided in part by GenAI)
OpenAI Introduces The "Operator Agent" - Andrew Black, AI Grid
OpenAI is reportedly developing a new AI agent codenamed "Operator" that can interact with computers and perform tasks on behalf of users, such as writing code or booking travel. This agent is planned for a limited release in January 2025 as a research preview, primarily targeting developers and researchers. OpenAI is also working on several other agent-related projects, including a general-purpose tool that operates within a web browser, co-pilot agents that autonomously monitor events and execute tasks, and potentially voice agents based on internal demos. (summary provided in part by GenAI)
https://www.youtube.com/watch?v=ExyUcMVztrA
Friday, November 22, 2024
A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Fali Wang, et Al; ARXIV
Large language models (LLM) have demonstrated emergent abilities in text generation, question answering, and reasoning, facilitating various tasks and domains. Despite their proficiency in various tasks, LLMs like LaPM 540B and Llama-3.1 405B face limitations due to large parameter sizes and computational demands, often requiring cloud API use which raises privacy concerns, limits real-time applications on edge devices, and increases fine-tuning costs. Additionally, LLMs often underperform in specialized domains such as healthcare and law due to insufficient domain-specific knowledge, necessitating specialized models. Therefore, Small Language Models (SLMs) are increasingly favored for their low inference latency, cost-effectiveness, efficient development, and easy customization and adaptability. , Collaboration with LLMs, and Trustworthiness.
AI-generated poetry is indistinguishable from human-written poetry and is rated more favorably - Brian Porter & Edouard Machery, Nature Scientific Reports
As AI-generated text continues to evolve, distinguishing it from human-authored content has become increasingly difficult. This study examined whether non-expert readers could reliably differentiate between AI-generated poems and those written by well-known human poets. We conducted two experiments with non-expert poetry readers and found that participants performed below chance levels in identifying AI-generated poems (46.6% accuracy, χ2(1, N = 16,340) = 75.13, p < 0.0001). Notably, participants were more likely to judge AI-generated poems as human-authored than actual human-authored poems (χ2(2, N = 16,340) = 247.04, p < 0.0001). We found that AI-generated poems were rated more favorably in qualities such as rhythm and beauty, and that this contributed to their mistaken identification as human-authored.
Thursday, November 21, 2024
Winds of Change in Higher Ed to Become a Hurricane in 2025 - Ray Schroeder, Inside Higher Ed
A number of factors are converging to create a huge storm. Generative AI advances, massive federal policy shifts, broad societal and economic changes, and the demographic cliff combine to create uncertainty today and change tomorrow. The confluence of all of these disruptions in 2025 predict a challenging year ahead for higher education. Has your institution prepared for the fallout from these developments? Who is coordinating the response to these disparate trends? Are you following the trends and considering the implications for your career as well as for your department, college and university?
OpenAI’s secret AI agent revealed! - Martin Crowley, AI Tool Report
OpenAI reportedly told staff that they will release an AI agent—codenamed Operator—which can take over a computer and perform tasks, autonomously, to developers via the developer API, as early as January. This comes after OpenAI denied reports that it would be launching its newest AI model, Orion, in December, suggesting they’re pivoting away from chatbots that just process text and images, towards agents that can engage with computers autonomously. Something which CEO, Sam Altman, appeared to confirm during a recent AMA on Reddit, where he said “I think the thing that will feel like the next giant breakthrough will be agents.” This also comes after Chief Product Officer, Kevin Weil confirmed, at OpenAI’s dev day last month, that “2025 is going to be the year that agentic systems finally hit the mainstream.”
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