Evaluation of multi-, inter-, and transdisciplinary trust research. Credit: Humanities and Social Sciences Communications (2025). DOI: 10.1057/s41599-025-05481-9
An international team of researchers has put forward a framework that it argues can be used to answer one of the biggest questions facing artificial intelligence (AI) technologies: can AI be trusted? The framework offers an organized approach for tackling a complex subject that draws on a wide variety of research disciplines.
“Companies, governments and everyday people are adopting AI tools to perform a wide variety of functions, but it’s still not clear whether this is a technology that is actually trustworthy,” says Roger Mayer, co-author of a paper on the work and a professor of leadership in North Carolina State University’s Poole College of Management.
“If we’re going to use AI to make meaningful decisions, or even to inform important decisions, trust is a critical consideration. If we’re going to pour money into AI applications, trust is a vital consideration. So developing an approach that will allow us to address the trustworthiness of AI in a meaningful way, both scientifically and practically, is a big step forward.”
“Our global collaboration dives into the psychology, ethics and societal impact of trust in AI, proposing a transdisciplinary ‘TrustNet Framework’ to understand and bolster trust in AI to address grand challenges in areas as broad and urgent as misinformation, discrimination and warfare,” says Frank Krueger, professor of systems social neuroscience in the School of Systems Biology at George Mason University.
The TrustNet Framework builds on ideas first developed at a TRUST workshop in Vienna, Austria, which drew an interdisciplinary team of researchers from around the world.
AI has the potential to enhance our lives in meaningful ways. For example, AI companions can offer emotional support in elder care, while AI tools can generate content and automate tasks that boost productivity. Yet, risks persist. Researchers considered various scenarios: algorithms used in hiring may carry hidden biases, just as humans do. And when it comes to misinformation, how can we tell if any AI is better than us at distinguishing fact from fiction?
As AI increasingly mediates high-stakes decisions, trust and accountability must become central concerns. Ultimately, what’s at stake is trust—not just in AI systems, but in the people and institutions designing, deploying and overseeing them. To develop the TrustNet Framework, the researchers analyzed 34,459 multi-, inter-, and transdisciplinary trust research articles. The analysis concluded that more transdisciplinary studies are needed on the subject.
The TrustNet Framework encourages research teams to consider three components:
Problem transformation, including connecting the “grand challenge” of whether we should trust AI with scientific knowledge;
Producing new knowledge that allows us to address issues such as clarifying the roles of researchers and other stakeholders, and designing an integration concept that allows us to address a challenge from multiple perspective simultaneously; and
Transdisciplinary integration, assessing results to generate useful outputs for society and for science—answering research questions in a way that both furthers our understanding and has practical utility.
“Future trust frameworks must consider not only how humans trust AI, but also how AI systems might evaluate and respond to human reliability, and how AI establishes forms of AI-to-AI trust in networked and automated environments,” explains René Riedl, a co-author of the paper who was instrumental in convening the initial group of researchers at the TRUST workshop. Riedl is also head of the Digital Business Management master’s program at the University of Applied Sciences Upper Austria & Johannes Kepler University Linz, Austria.
“Those working in AI, policy, ethics, or tech design would find this [paper] a valuable read to understand and combat the emerging societal AI trust challenges utilizing a common framework,” Krueger added. “Trust is the foundation of all healthy relationships—between people and technologies. AI will reshape society, but trust—between people, systems and institutions—ultimately must guide how we build and use it.”
“I have studied trust for more than 30 years, and one of the key elements of this TrustNet Framework that I really like is the fact that it is transdisciplinary,” Mayer says. “An interdisciplinary approach draws on researchers from multiple disciplines.
“But a transdisciplinary approach goes further, incorporating input from other stakeholders—such as users of AI, those affected by the use AI, and policymakers that have authority over specific AI applications, such as autonomous vehicles. Any approach that wants to provide a meaningful analysis of trust that is of high value to society needs to incorporate transdisciplinary perspectives—it’s one reason I think this framework has so much potential.”
More information:
Frank Krueger et al, A call for transdisciplinary trust research in the artificial intelligence era, Humanities and Social Sciences Communications (2025). DOI: 10.1057/s41599-025-05481-9
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Can we trust AI? Researchers offer framework for tackling this question (2025, August 25)
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RENO, Nev., Sept. 02, 2025 (GLOBE NEWSWIRE) — GreetEat Corporation (OTC: GEAT), a forward-thinking technology company dedicated to building next-generation platforms, today announced the official re-launch of its subsidiary Wall Street Stats (WallStreetStats.io) applications on both iOS and Android. The updated apps deliver a powerful suite of new tools designed to empower investors with deeper insights, smarter analytics, and a cutting-edge user experience.
The new release introduces an upgraded platform driven by artificial intelligence and machine learning, providing users with:
Detailed Quotes & Company Profiles – Comprehensive financial data with intuitive visualization.
Summarized Market Intelligence – AI-powered data aggregation and automated summarization for faster decision-making.
Sentiment Analysis via Reddit & Social Platforms – Machine learning models that detect, classify, and quantify investor sentiment in real time.
Trending Stocks, Top Gainers, Top Losers, and Most Active Lists – AI-curated market movers updated dynamically throughout the day.
Smart Watchlists – Personalized watchlists enhanced by predictive analytics and recommendation algorithms.
AI-Driven Market Predictions – Leveraging natural language processing (NLP), deep learning, and behavioral pattern recognition to uncover emerging investment opportunities.
“Wall Street Stats was designed to go beyond traditional financial data and offer an AI-first experience that empowers both retail and professional investors,” said Victor Sima, CTO of GreetEat Corporation. “With this re-launch, we’ve combined the best of real-time market intelligence with machine learning powered insights that make data more actionable, intuitive, and predictive. This is just the beginning of our vision to democratize Wall Street – level analytics for everyone.”
The platform’s enhanced features are aimed at giving investors a competitive edge by uncovering hidden patterns, predicting momentum, and providing smarter investment signals. With natural language processing, predictive modeling, and real-time data analytics, Wall Street Stats represents a new era in financial technology innovation.
About GreetEat Corporation GreetEat Corporation (OTC: GEAT) is a technology-driven platform designed to bring people together through virtual dining. Whether for business meetings, celebrations, or personal connections, GreetEat blends video conferencing with meal delivery to create meaningful, shared experiences anywhere in the world. In addition to GreetEat.com, the company also owns WallStreetStats.io, a cutting-edge fintech app that leverages AI and machine learning to analyze social sentiment, market trends, and trading signals in real time, available on both Android and iOS stores.
Forward-Looking Statements: This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. These forward-looking statements are based on current expectations, estimates, and projections about the company’s business and industry, management’s beliefs, and certain assumptions made by the management. Such statements involve risks and uncertainties that could cause actual results to differ materially from those in the forward-looking statements. The company undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise.
New grant money from Natural Sciences and Engineering Research Council of Canada (NSERC) will help Algoma University researchers continue their work in artificial intelligence, renewable energy, and sustainable farming and biotechnology.
The Sault Ste. Marie university announced Aug. 28 it will receive $541,000 over five years toward three projects at the school.
Dr. Ping Luo is developing artificial intelligence (AI) tools to detect cancer earlier and more accurately, paving the way for faster diagnoses and more personalized care.
Dr. Syed Muhammad Danish is designing smarter, greener infrastructure for electric vehicles and renewable energy systems, while embedding sustainable practices into generative AI to support Canada’s net-zero goals.
Dr. Isabel Molina, a Tier II Canada Research Chair, is investigating how plants naturally produce protective compounds, with the potential to transform sustainable farming and biotechnology.
“From cancer research to clean energy and sustainable agriculture, world-class innovation is thriving right here in Northern Ontario,” Brett Goodwin, Algoma’s interim vice-president of academic and research, said in a news release.
“Our faculty are leading research in computer science, life sciences, and environmental innovation to tackle urgent global challenges, while creating exceptional learning opportunities for our students, including students in our recently launched graduate programs in biology and computer science.”
FLORENCE, Italy, Sept. 2, 2025/PRNewswire/ — Medical Horizons S.r.l., (medicalhorizons.it) a leading distributor of Artificial Intelligence (AI) solutions for healthcare, today announced an exclusive distribution agreement with Bowhead Health Inc.(bowheadhealth.com), a Canadian innovator in secure health data management and AI-powered clinical trial matching.
Under this agreement, Medical Horizons becomes the exclusive partner for Bowhead Health in Italy, Turkey, and Cyprus, expanding access to advanced technologies that improve clinical trial recruitment, optimize research workflows, and strengthen hospital and research institute capabilities across the region.
Addressing Healthcare’s Urgent Needs Healthcare systems worldwide face growing challenges from workforce shortages and rising clinical demands. Artificial intelligence is increasingly recognized as a critical tool to help address these pressures, enabling hospitals and researchers to deliver faster, more personalized care.
“Manual clinical trial matching is slow, burdensome, and often misses the genomic details that matter most,” said Francisco Diaz-Mitoma, CEO of Bowhead Health Inc. “Our platform allows hospitals to scan global and local trial databases instantly, helping them connect patients with the right therapies far more efficiently.”
Bowhead’s AI-driven technology reduces time spent on manual searches, simplifies workflows, and provides confidence for both researchers and patients, accelerating progress toward personalized medicine.
A Strategic Expansion for Medical Horizons For Medical Horizons, the partnership marks a continuation of its mission to bring best-in-class AI technologies to European healthcare providers.
“This collaboration represents a decisive step in our strategy to deliver practical, high-impact AI solutions,” said Guido Osti, CEO of Medical Horizons. “Bowhead Health has developed a unique platform that combines secure health data management, artificial intelligence, and clinical research. We are proud to guide their expansion in Italy, Turkey, and Cyprus.”
Bowhead Health Inc. Based in Ottawa, Canada, Bowhead Health has developed a secure digital ecosystem that integrates:
An AI-powered trial matching engine for personalized patient recruitment.
A de-identified health data platform compliant with GDPR, HIPAA, and global security standards.
Collaborative digital flows connecting patients, hospitals, researchers, and pharmaceutical companies.
Bowhead Health is currently validating its technology with leading hospitals in Canada, Europe, India, and the United States, with strong early results.
