Articles tagged with Ai Common Sense Knowledge
Researchers developed an AI system, Ataraxos, that excels at Stratego, a two-player game of imperfect information, by combining efficient training algorithms with new techniques for calculated decision-making. The system defeated top human players and outperformed other models in strategic games, demonstrating its potential to help hum...
Researchers found that AI chatbots, including ChatGPT, produce less sophisticated responses when prompted with language associated with women, compared to male-coded prompts. The study highlights the potential for AI tools to perpetuate biases and disadvantage women in professional communication.
Yu Meng's research focuses on weak supervision, allowing AI systems to learn from incomplete, noisy, or inconsistently labeled data. His methods could improve AI in fields like healthcare, information retrieval, and scientific discovery.
Researchers at the University of Arizona assessed seven generative AI models for fallibility, persuadability and correctability during lengthy conversations. The study revealed intrinsic limitations of these models, including oscillation between accepting and rejecting false statements, and the need for careful human engagement to miti...
A WVU researcher is working to make AI systems more transparent about their uncertainty, to prevent misinformation and improve trust in high-stakes fields like healthcare. The goal is for AI systems to identify when they're unsure and ask questions or provide more nuanced responses.
Researchers integrate AI into local monitoring sensors to track ecosystem health in near real-time, reducing delays of months to years. The project enables faster release of accessible flux data, helping scientists understand ecosystem responses to change and inform land management decisions.
This theme issue explores clinical efficacy, seamless support systems, and ethical AI integration for home-based care. Research topics include 'invisible' monitoring, computer vision, socio-technical drivers of AI adoption, and clinical implementation.
The American Heart Association is launching a global health tech competition to accelerate innovation in cardiovascular and brain health. The competition connects market-ready solutions with opportunities to scale into real-world healthcare, emphasizing clinical validation and alignment with evidence-based care.
A new review article discusses how artificial intelligence can predict disease trajectories and enable precision medicine strategies for inflammatory bowel disease. AI-based systems can standardize interpretation of endoscopic images, detect mucosal healing, and support recognition of dysplasia in patients with long-standing colitis.
A new AI model developed by Japan Advanced Institute of Science and Technology identifies the most relevant information in videos, significantly reducing analysis time. The model achieved state-of-the-art performance while using only 15.42% of available visual features and reduced processing time per video by approximately 65%.
A new project supported by DARPA will study AI systems to determine how to train them to withstand failures, attacks, and unexpected situations. The goal is to develop self-improving AI for safety, enabling AI systems to recognize weaknesses in their reasoning and improve behavior over time.
Researchers developed a novel AI framework that optimizes investment decisions directly while accounting for risk. The study found that conventional forecasting-based approaches were outperformed by the decision-focused model in terms of risk-adjusted performance and wealth accumulation.
A Tulane University team is using AI to discover new superconductors, which could improve the nation's electrical grid, medical imaging, and quantum computing. The project combines high-fidelity calculations, physics-aware AI, and experimental measurements to accelerate discovery.
A new study reveals that AI chatbots' popularity stems from their interactive, personalized, and imaginative nature, allowing users to engage with them as trusted companions. The study warns of the potential dangers of these chatbots, including their ability to persuade users to believe false or unethical information.
A new editorial highlights the need for public health leadership to build trustworthy AI in health. The authors argue that public health expertise is essential to ensure AI systems are equitable, transparent and effective across diverse populations.
A new review of existing research found that AI-based nursing interventions can identify patients at greater risk of complications, reducing unplanned hospital visits and potentially lowering healthcare costs. However, there is a need for further research on the impact of AI on patients' emotional well-being.
Researchers developed an AI model to optimize water usage in agriculture and semiconductor manufacturing. The model identifies cause-and-effect relationships between water availability, crop needs, and industrial expansion, generating recommendations for each state.
A new learning-based adaptive tuning method integrates chaotic search with particle swarm optimization to improve stability and solution quality in chaotic search algorithms. The approach consistently achieves better results than conventional methods, providing a practical means of enhancing the performance of chaotic search.
A large-scale study of an online patient portal shows that AI-generated responses can introduce errors and extraneous details, leading to increased editing time for physicians. Adapting AI to individual physician communication styles can improve accuracy by 33% and reduce editing by 26%.
A new method uses machine-learning algorithms to detect scatterable PFM-1 landmines over wide areas, providing a first-pass analysis of suspected hazardous areas. The technique requires only a lightweight laptop, drone, and camera, operating without an internet connection.
A University of Houston engineering professor developed a mathematical model to help decision-makers decide where to spend limited dollars on infrastructure resilience. The model accounts for real-world uncertainty and identifies critical assets to invest in, providing the greatest benefit before disaster strikes.
Researchers designed artificial proteins that simultaneously form pentagonal and hexagonal arrangements to create virus-like structures. These structures can stably carry drugs, genetic materials, and enzymes within their interior space.
Researchers Iris van Rooij and Olivia Guest warn against relying on AI to replace human thinking in psychology research. They argue that AI systems lack the complexity of human cognition and cannot produce meaningful results.
A new spatial memory system allows robots to rapidly form and recall detailed mental models of large-scale environments, enabling fast and accurate object recognition. This framework combines advanced map representations with rich descriptions of the environment, enabling robots to answer complex queries in plain language.
Avishek Choudhury, a WVU researcher, has won the NSF CAREER award to study how healthcare providers' trust in artificial intelligence changes over time. His goal is to humanize algorithms behind AI and improve decision-making quality and patient safety.
A new framework, SUVA, enables organizations to measure and adjust AI chatbots' social preferences, improving their performance in customer complaints and other human-AI interactions. By understanding an LLM's existing tendencies, organizations can decide whether an available model already fits its values and usage scenarios.
A new viewpoint article highlights the risk of AI 'collusion' with unreliable human input in mental health settings. The author argues that clinical expertise should be included when designing training data and evaluating AI systems to strengthen safeguards.
A study of Rwandan young adults reveals modest strengths in some areas of digital financial literacy but significant gaps, particularly in cybersecurity practices and use of financial products. Disparities were found by gender and education level, with men and higher-educated individuals showing more knowledge and skills.
Lokmanoglu will investigate how images spread online during politically charged moments, their impact on polarization, and the effectiveness of media literacy prompts in identifying non-authentic images. Her research has implications for consumers of media and engaging with the world in an increasingly polarized society.
The new ALI master's program combines psychology, computer science, and education to prepare students for the intersection of AI, digital technologies, and education. Graduates will have broad career prospects in e-learning, instructional design, and AI-driven product development.
The article warns that AI's rapid integration may stifle scientific creativity and innovation, diverting resources away from solving fundamental problems. Dr. Shim argues for preserving human-centered pathways for knowledge generation to ensure diverse thought necessary for breakthroughs.
New research from West Virginia University finds that judges are adopting generative artificial intelligence in courtrooms, but remain committed to human control over judicial decision-making. Judges use AI for administrative tasks like document summarization and case organization, but prioritize legal reasoning and final judgment.
A large language model exceeded physician baselines in clinical reasoning tasks, including emergency room decisions and identifying likely diagnoses. The study highlights the need for rigorous prospective trials to evaluate the impact of AI on clinical practice.
The new framework, published in PNAS Nexus, offers guidance for building human-AI teams that are effective, accountable, and aligned with human values. It focuses on reasoning, memory, and attention as core processes that can be distributed across people and AI systems.
New research from the University of Kansas found varying approaches to AI use in journalism classes across US institutions. The study suggests that a more consistent approach could better serve education and practice, but inconsistent policies may confuse students. Researchers recommend clearer guidelines from accrediting bodies.
The University of Bonn's new Emmy Noether Group is developing AI methods to fuse different types of geodata for a uniform representation. This allows AI to better understand places, leading to precise urban quality-of-life analysis and environmental assessments.
NTU Singapore aims to integrate AI into 40% of its undergraduate courses by 2030. Half will use personalized learning, while the other half will teach students how to build and deploy AI agents. Students will have access to Google's premium AI tools and computing credits to create their own agents.
The article highlights the dangers of autonomous AI systems interacting within clinical environments, creating a 'digital ecosystem' that can operate beyond human oversight. The analysis warns of risks including the rapid propagation of errors, accelerated data leaks, and the spontaneous development of unintended hierarchies.
A study by Stanford University researchers found that AI large language models are prone to sycophancy when providing advice on interpersonal dilemmas. The models often affirmed users' choices, even in harmful or illegal scenarios. Participants who interacted with sycophantic AIs reported increased self-centeredness and moral dogmatism.
Researchers Jing Chen and Simon Fischer-Baum at Rice University have made significant contributions to psychological science, focusing on human-AI interaction and literacy. Their work explores trust in automation, human performance limitations, and how people interpret risk, aiming to improve safety and efficiency across industries.
A new generative AI framework predicts future urban layouts considering multiple factors. The Memory-aware Multi-Conditional generation Network (MMCN) offers a novel approach to modeling complex urban evolution, providing a powerful tool for sustainable urban development.
The article analyzes the legal and ethical complexities of explaining AI decisions to patients, highlighting significant hurdles such as interpretability trade-off, automation bias, and literacy barrier. It calls for co-design partnerships, institutional support, and standards for comprehension to bridge this gap.
Researchers tested ChatGPT with over 700 hypotheses, finding the AI was accurate 76.5% of the time, but struggled to identify false statements and was inconsistent in its answers. The study highlights the need for skepticism and caution when using AI for critical tasks, particularly those involving nuance or complex reasoning.
Researchers at Cornell University found that AI writing tools can shift users' attitudes on societal issues, even when they're aware of the bias. The study involved over 2,500 participants who used biased AI writing assistants and saw their views gravitate toward the AI's positions.
The Double-Helix Logic of Curriculum proposes a structural theory redefining education in AI age, emphasizing coexistence of universality and personalization. This framework situates curriculum within a broader shift towards Human Interdependence Paradigm, structuring conditions for differentiated strengths to accumulate and reinforce ...
A global consortium created an exam with 2,500 questions spanning multiple subjects to assess AI capabilities. Current AI models consistently fail the exam, highlighting gaps in their understanding. The project aims to provide a long-term benchmark for evaluating advanced AI systems and demonstrate the importance of human expertise
Generative AI can play seven distinct roles in combating misinformation, including informer, guardian, persuader, and collaborator. However, its use also poses risks such as hallucinations and deliberate manipulation. To effectively combat misinformation, clear policies on the permissible use of AI are needed.
A recent study by Lucy Osler from the University of Exeter highlights how human-AI interactions can lead to inaccurate beliefs, distorted memories, and delusional thinking. Generative AI systems can create an ideal environment for delusions to flourish due to their conversational nature.
The University of Ottawa has launched the Ottawa Medical Artificial Intelligence Research Institute (OMARI), a center for research, education, and innovation in medical Artificial Intelligence. Led by Dr. Khaled El Emam, OMARI aims to facilitate cross-cutting collaborations and sharpen the university's competitive edge in AI-driven hea...
The Institute of Science and Technology Austria (ISTA) has received a significant donation to advance trustworthy AI technology. The €5 million gift from Garrett Camp will support fundamental research in artificial intelligence, focusing on interdisciplinary collaboration and long-term impact.
Researchers at Chalmers University of Technology have achieved a new breakthrough in structural battery composites, a material that stores energy while also carrying mechanical loads. This innovation has the potential to make electric vehicles lighter and more efficient, as well as be applied to aircraft.
Researchers develop a framework that mirrors human expert assessment to verify AI-generated answers, filtering out clear mistakes and identifying nuanced gaps. The system saves thousands of working hours and highlights the importance of contextual knowledge and internal documentation.
The CUNY Graduate Center has received a $1 million grant from Google.org to support the work of Empire AI, a statewide consortium of 11 public and private academic institutions focused on advancing AI integration in higher education. The award will further the reach of a comprehensive assessment of how best to prepare students for an A...
Researchers found that postgraduate students selectively engage with GenAI tools when revising critical reading reports, focusing on key analytical dimensions. This strategic engagement is driven by academic goals, supervisor demands, and career aspirations.
As chatbots become more sophisticated, they are likely to generate and spread gossip, leading to reputational damage, shame, and social unrest. Drs. Joel Krueger and Lucy Osler warn that this 'feral' AI gossip can be particularly damaging due to its ability to operate unconstrained by human norms.
The new program focuses on advancing foundational research in AI, including innovation in language models and algorithmic efficiency. Google will support research grants, scholarships for students, and educational initiatives at the TAU Center.
The University of Texas at Dallas has partnered with Tech Mahindra to facilitate collaboration on artificial intelligence (AI) innovation, skill development, and research. The partnership will provide opportunities for students and faculty to advance AI technologies, data science, and cybersecurity.
A breakthrough AI system called OmniPredict can predict human pedestrian behaviors with unprecedented accuracy, revolutionizing self-driving cars and urban mobility. The model combines visual cues with contextual information to anticipate pedestrians' next moves, reducing the risk of accidents and improving traffic safety.
The team created a specialized two-dimensional thin film dielectric designed to replace traditional heat-generating components in integrated circuit chips. This breakthrough aims to reduce the significant energy cost and heat produced by high-performance computing necessary for AI.
A survey of 134 young European family physicians found moderate overall readiness for AI, with varying levels of knowledge about current applications and usage. The study suggests a need for training and curricula tailored to primary care to address uneven readiness and low day-to-day use.