Full article: AI literacy won't save us: a reply to Bannister (2025)
Given AI 'beliefs' are centred on the average of training data, bias towards conventional over innovative research. Given the sycophantic nature of ...
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Given AI 'beliefs' are centred on the average of training data, bias towards conventional over innovative research. Given the sycophantic nature of ...
This means that bias produced and reproduced in AI -integrated educational settings might have undesirable outcomes during teaching and learning. To ...
These policies balance technology adoption with risk prevention, explicitly advocating to integrate artificial intelligence into all elements and ...
1. 'When I was a little kid, I thought building AI would be the coolest thing ever. I never really thought I would get the chance to work on it.
Guided by previous work on algorithmic decisions and automation bias in the context of Human- AI Interaction, and drawing on the Modality, Agency, ...
Bias & FairnessGovernment & Public SectorAI Agents & Automation
1. In recent years, artificial intelligence ( AI ) has shown significant potential across various fields, such as education, supply chain management ...
Credibility and fear emerge as critical mediators, influencing subsequent perceived risk of HPV vaccination and vaccination intentions. Theoretical ...
The European Union has been a pioneer in creating a comprehensive legal framework on artificial intelligence ( AI ). However, some nuanced risks of ...
In particular, the pre-service teachers in the high AI risk -awareness anxiety profile appeared to exhibit higher motivated learning behaviour. These ...
As industrial and governmental entities begin proposing risk management frameworks to ensure ethical AI development and deployment (e.g., OECD, ...
Governance & Risk ManagementGovernment & Public SectorManufacturing & Robotics
... AI , knowledge workers and AI systems achieve a balanced human- AI partnership. ... “Deep Automation Bias : How to Tackle a Wicked Problem of AI ?” Big Data ...
Bias & FairnessChatbots & LLMsJobs & the EconomyAI Agents & Automation
The potential drawbacks of poorly built AI systems, which can embed biases and perpetuate inequalities, especially when the biased algorithms can ...
Any AI system, particularly grief-focused technologies such as deathbots, must carefully weigh the potential benefits against ethical risks and ...
In particular, while AI literacy is often promoted as a solution, the specific ways it helps users navigate AI risks —such as bias, privacy breaches, ...
Chatbots & LLMsBias & FairnessCybersecurityPrivacy & Surveillance
The public release of high-profile generative AI models in late 2022 and early 2023 spurred widespread concerns over 'existential threats ' to ...
Chatbots & LLMsGovernance & Risk ManagementAI Safety & Existential Risk
As the widespread adoption of conversational artificial intelligence ( AI ) systems has raised concerns about social bias , especially towards ...
... artificial intelligence ( AI ).Footnote The programme has borne fruit, as demonstrated by, for instance, the continued viability of the ...
... an AI model that adapts across regional contexts. Its ability to generate realistic synthetic data, even in data-scarce environments, further ...
Using pragmatist theories from John Dewey and Henry Bergson, we found some notions more suitable than others for rationalising AI issues. Risk , for ...
Our approach, which we term behavioral human-centered AI (B-HCAI), places emphasis first and foremost on humans as biased actors and advocates taking ...
Therefore, this study investigated the critical risk factors for implementing AI in construction projects. The findings revealed forty-nine (49) ...
1. The emergence of Artificial Intelligence Generated Content (AIGC) technologies, represented by ChatGPT, ERNIE Bot, Sora and DeepSeek, ...