Results 11 to 20 of about 356,654 (249)

On the Utility of Prediction Sets in Human-AI Teams

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Research on human-AI teams usually provides experts with a single label, which ignores the uncertainty in a model's recommendation. Conformal prediction (CP) is a well established line of research that focuses on building a theoretically grounded, calibrated prediction set, which may contain multiple labels.
Babbar, Varun, Bhatt, Umang, Weller, Adrian   +2 more
openaire   +2 more sources

The Design of Optimized RISC Processor for Edge Artificial Intelligence Based on Custom Instruction Set Extension

IEEE Access, 2023
Edge computing is becoming increasingly popular in artificial intelligence (AI) application development due to the benefits of local execution. One widely used approach to overcome hardware limitations in edge computing is heterogeneous computing, which ...
Hyun Woo Oh, Seung Eun Lee
doaj   +1 more source

AI ethics and ethics in AI: Some crucial differences and development possibilities [PDF]

Zbornik Radova: Pravni Fakultet u Novom Sadu
AI ethics could be defined as the set of guiding principles that all actors using or developing AI should or must use in order to ensure artificial intelligence technology is developed and used responsibly and wisely.
Ćorić Dragana M.
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Empowering human-AI teams via Intentional Behavioral Synchrony

Frontiers in Neuroergonomics, 2023
As Artificial Intelligence (AI) proliferates across various sectors such as healthcare, transportation, energy, and military applications, the collaboration between human-AI teams is becoming increasingly critical.
Mohammad Y. M. Naser, Sylvia Bhattacharya   +1 more
doaj   +1 more source

Politics by Automatic Means? A Critique of Artificial Intelligence Ethics at Work

Frontiers in Artificial Intelligence, 2022
Calls for “ethical Artificial Intelligence” are legion, with a recent proliferation of government and industry guidelines attempting to establish ethical rules and boundaries for this new technology.
Matthew Cole, Callum Cant, Funda Ustek Spilda, Mark Graham   +3 more
doaj   +1 more source

Prediction and Diagnosis of Venous Thromboembolism Using Artificial Intelligence Approaches: A Systematic Review and Meta-Analysis

Clinical and Applied Thrombosis/Hemostasis, 2021
Venous thromboembolism (VTE) is a fatal disease and has become a burden on the global health system. Recent studies have suggested that artificial intelligence (AI) could be used to make a diagnosis and predict venous thrombosis more accurately. Thus, we
Qi Wang MS, Lili Yuan MD, PhD, Xianhui Ding MD, Zhiming Zhou MD, PhD   +3 more
doaj   +1 more source

A Novel MetaSoft Tree-Cognitive Set Model for Evaluating Criminal Litigation Efficiency under Artificial Intelligence Ecosystems [PDF]

Neutrosophic Sets and Systems
Artificial Intelligence (AI) is transforming judicial systems by offering tools that enhance legal decision-making, yet measuring the efficiency of criminal litigation processes within these evolving digital ecosystems remains a complex task. Traditional
Yuanyuan Meng, Jing Cai
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Artificial intelligence can accurately distinguish IgA nephropathy from diabetic nephropathy under Masson staining and becomes an important assistant for renal pathologists

Frontiers in Medicine, 2023
IntroductionHyperplasia of the mesangial area is common in IgA nephropathy (IgAN) and diabetic nephropathy (DN), and it is often difficult to distinguish them by light microscopy alone, especially in the absence of clinical data.
Zhenliang Fan, Zhenliang Fan, Qiaorui Yang, Hong Xia, Peipei Zhang, Ke Sun, Mengfan Yang, Riping Yin, Dongxue Zhao, Hongzhen Ma, Yiwei Shen, Junfen Fan   +11 more
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SuperHyperSoft Set for Selection Strategies for Achieving Human Rights in Artificial Intelligence through Civil Public Interest Litigation [PDF]

Neutrosophic Sets and Systems
Making sure AI technologies respect and uphold human rights is crucial as AI gets more and more integrated into social structures. AI systems that are unethical or discriminatory may be challenged in court through civil public interest litigation (CPIL).
Juan Zhao
doaj   +1 more source

Artificial Intelligence to Differentiate Pediatric Pseudopapilledema and True Papilledema on Fundus Photographs

Ophthalmology Science
Purpose: To develop and test an artificial intelligence (AI) model to aid in differentiating pediatric pseudopapilledema from true papilledema on fundus photographs. Design: Multicenter retrospective study.
Melinda Y. Chang, MD, Gena Heidary, MD, PhD, Shannon Beres, MD, Stacy L. Pineles, MD, Eric D. Gaier, MD, PhD, Ryan Gise, MD, Mark Reid, PhD, Kleanthis Avramidis, MEng, Mohammad Rostami, PhD, Shrikanth Narayanan, PhD   +9 more
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