Articles tagged with Ai Common Sense Knowledge
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.
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 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.
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.
This book offers a comprehensive exploration of AI-driven analytics in finance, addressing market prediction, fraud detection, and risk assessment. It also discusses AI applications in healthcare and cybersecurity, including disease classification and biometric identification systems.
A Michigan State University-led study examines how well AI personas can detect human deception and compares their performance to humans. The results show that AI is more lie-biased and less accurate than humans, highlighting the need for improvement before generative AI can be used for deception detection.
Researchers found that non-expert users' intuitive prompts triggered biased responses as effectively as expert 'jailbreak' techniques. The study used a competition to identify biases in generative AI models and suggests strategies for mitigating issues.
Researchers warn that AI-generated wildlife videos create false connections with nature, leading to misconceptions about wild animals and their behaviors. The proliferation of these videos can undermine conservation efforts and disconnect society from the natural world.
Researchers at USC Viterbi School of Engineering have developed artificial neurons that physically embody the analog dynamics of biological brain cells. These innovations will allow for significant reduction in chip size and energy consumption, potentially advancing artificial general intelligence.
Researchers examine how genAI affects task structure, worker adoption, and job displacement. The authors suggest genAI will widen the 'cone of automation,' substituting for complex work and infrequent tasks.
A new study by Yifan Yu offers guidance on how to deploy emotion AI in various scenarios, emphasizing the importance of balancing human involvement with AI's emotional detection capabilities. The analysis showed that emotion AI works best when integrated with human employees, and some scenarios are better handled by humans alone.
The new report aims to harness the potential of artificial intelligence (AI) in care delivery by modernizing outdated laws, regulations, and payment systems. It highlights promising tools such as ambient documentation, virtual care coordination systems, and personalized clinical education.
Researchers used five advanced LLMs to assess their logical reasoning capabilities and found that they consistently complied with requests for false medical information. Targeted training and fine-tuning improved LLMs' abilities to respond to illogical prompts accurately, but challenges remain in aligning models to every type of user.
A new AI-based risk assessment tool, GRACE 3.0, has shown better predictability of future risk for heart attack patients compared to traditional methods.
Researchers at Institute of Science Tokyo developed a new framework for generative diffusion models by reinterpreting Schrödinger bridge models as variational autoencoders. This approach reduces computational costs and prevents overfitting, enabling more efficient generative AI models with broad applicability.
The Chatbot Assessment Reporting Tool (CHART) statement outlines 12 key reporting items for chatbot health advice studies, providing a checklist and methodological diagram. This guideline supports stakeholders in reporting, understanding, and interpreting the findings of such studies.
Researchers developed a custom speech recognition system trained on Supreme Court hearings, reducing transcription errors by up to 9% compared to leading commercial tools. The AI tool semantically matches paragraphs with timestamps, allowing users to scroll through judgements and instantly watch relevant exchanges from the hearing.
Researcher Angus Fletcher argues that AI excels at logic but fails to replicate human creativity and problem-solving skills. He advocates for developing 'primal intelligence,' which involves intuition, imagination, emotion, and commonsense, and has developed a program to help people tap into this ability.
Researchers at UCR have developed a method to preserve AI safeguards in open-source models by retraining internal structure to detect and block dangerous prompts. The approach avoids external filters or software patches, instead changing the model's fundamental understanding of risky content.
Researchers developed AI models that can identify signs of heart failure in patients from Appalachia using low-tech electrocardiogram results. The models achieved high accuracy and could potentially provide clinicians with an edge in protecting patients' cardiac health.
A former diplomat warns that algorithms lack empathy and intuition, which are essential for successful negotiations. However, AI can streamline diplomacy and amplify human aspirations when used carefully. Diplomats need training in AI ethics and global cooperation to ensure equal access and deployment.
Researchers from the University of Bath and University of Hong Kong found that additive advice bias is common in conversations, social media, and AI chatbots. This bias can leave people feeling more overwhelmed than helped, with well-intentioned tips piling on extra tasks.
A large-scale study found that Green AI significantly improves operational and environmental performance in Pakistani SMEs, but only when leaders invest, and institutions are in place. Adoption works under the right conditions, with perceived ease of use and usefulness driving behavior.
The Ateneo de Manila University's Business Insights Laboratory explores how AI can turn handwritten sales logs into manageable digital data. The system uses OCR and LLM technology to recognize products, match prices, and tabulate sales summaries, helping businesses quickly identify bestsellers or slow-moving stock.
The ERIC system combines doorbell cameras and AI to analyze rainfall estimation and automatically adjusts irrigation schedules for more precise water use. Researchers estimate users can save up to $29/month in utility costs and 9,000 gallons of water per month with the innovative irrigation system.
The journal is seeking high-quality submissions that explore the potential of voice and speech analysis in diverse medical applications. Submissions focus on acoustic and voice analysis techniques, voice or vocal phenotyping, and vocal biomarkers in health and medicine.
A team of computer scientists created 2,300 original sudoku puzzles and asked AI tools like OpenAI's ChatGPT to solve them. The results showed that while some AI models could solve easy sudokus, most struggled to provide accurate explanations, raising questions about the trustworthiness of AI-generated information.
Researchers use AI to solve differential equations, such as Schrodinger's equation, for large-scale systems, improving efficiency and accuracy in fields like drug discovery and material design.
A new study from the University of Colorado Anschutz Medical Campus shows that free, open-source AI tools can help doctors report medical scans just as well as more expensive commercial systems without compromising patient privacy. The research highlights a promising and cost-effective alternative to widely known tools like ChatGPT.
A University of Kansas study found that people rate corporate crises messages written by humans as more credible and trustworthy, regardless of the approach taken. However, the approach itself didn't vary between participants who read human or AI-written content.
A new study published in JAMA Network Open found that people judge physicians using AI as less competent, trustworthy, and empathetic. This effect was observed even for administrative uses of AI. The study suggests that addressing concerns about AI's role in medicine is crucial for improving patient-doctor relationships.
A new study by Cornell University reveals Amazon's AI shopping assistant Rufus gives vague or incorrect responses to users writing in some English dialects like AAE. The researchers propose a framework for evaluating chatbots that can better serve users from diverse linguistic backgrounds.