Results 151 to 160 of about 227,255 (301)

What is AI Ethics? [PDF]

open access: yes
Artificial intelligence (AI) is booming, and AI ethics is booming with it. Yet there is surprisingly little attention paid to what the discipline of AI ethics is and what it ought to be.
Lambrecht, Felix, Moreno, Marina
core   +1 more source

Unveiling public perception of AI ethics: an exploration on Wikipedia data

open access: yesEPJ Data Science
Artificial Intelligence (AI) technologies have exposed more and more ethical issues while providing services to people. It is challenging for people to realize the occurrence of AI ethical issues in most cases.
Mengyi Wei   +5 more
doaj   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

open access: yesAdvanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung   +9 more
wiley   +1 more source

What role should higher education institutions play in fostering AI ethics? Insights from science and engineering graduate students

open access: yesInternational Journal of STEM Education
Background The rapid advancement of artificial intelligence (AI) has raised significant ethical concerns, prompting higher education institutions to reconsider how they prepare future STEM professionals to navigate such concerns responsibly.
Maya Usher, Miri Barak, Sibel Erduran
doaj   +1 more source

Assessing TiO2/Chitosan‐Based Hydrogels for Water Remediation: Sunlight‐Driven Degradation of Antibiotics in Water

open access: yesAdvanced Materials Interfaces, EarlyView.
Chitosan–TiO2 composite hydrogels combine adsorption of organic pollutants with photocatalysis, allowing to remove 85% of a broadly diffused antibiotic (sulfamethoxazole) under direct sunlight irradiation, opening great promises for point‐of‐use, outdoor applications.
Beatrice Cerea   +5 more
wiley   +1 more source

At Home Detection of Ovarian Health Biomarker in Menstruation Blood

open access: yesAdvanced Materials Technologies, EarlyView.
A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon   +3 more
wiley   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

open access: yesAdvanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar   +8 more
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki   +2 more
wiley   +1 more source

Ethical Statistical Practice and Ethical AI

open access: yesCoRR
10 pages; Preprint of submission to Proceedings of JSM 2024 Portland ...
openaire   +2 more sources

What Is an AI Vulnerability, and Why Should We Care? Unpacking the Relationship Between AI Security and AI Ethics [PDF]

open access: yes
Artificial intelligence (AI) systems are vulnerable to new types of attack such as adversarial examples and prompt injection, which cause the system to behave in unintended ways and potentially lead to harm.
Halunen, Kimmo, Tuovinen, Lauri
core  

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