Reset
Showing 20 of 6,095 academic articles

The importance of humanizing AI: using a behavioral lens to bridge the gaps between humans and machines

A. Fenwick, G. Molnar • Discover Artificial Intelligence (2022)

Abstract One of the biggest challenges in Artificial Intelligence (AI) development and application is the lack of consideration for human enhancement as a cornerstone for its operationalization. Nor is there a universally accepted approach ...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-022-00030-8

Navigating the Ethical Terrain of AI-Generated Text Tools: A Review

Yasir Abdelgadir Mohamed, Abdul Hakim H. M. Mohamed, Akbar Khanan, Mohamed Bashir et al. • IEEE Access (2024)

This review examines the ethical, social, and technical challenges posed by AI-generated text tools, focusing on their rapid advancement and widespread adoption. An exhaustive literature search across many databases, strict inclusion/exclus...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3521945

The fluency-based semantic network of LLMs differs from humans

Ye Wang, Yaling Deng, Ge Wang, Tong Li et al. • Computers in Human Behavior: Artificial Humans (2025)

Modern Large Language Models (LLMs) exhibit complexity and granularity similar to humans in the field of natural language processing, challenging the boundaries between humans and machines in language understanding and creativity. However, ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.chbah.2024.100103

The Social Impact of Natural Language Processing

Dirk Hovy, Shannon Lydia Spruit • Proceedings of the conference - Association for Computational Linguistics. Meeting (2016)

Medical sciences have long since established an ethics code for experiments, to minimize the risk of harm to subjects.Natural language processing (NLP) used to involve mostly anonymous corpora, with the goal of enriching linguistic analysis...

OPENALEX Open Access DOI: https://doi.org/10.18653/v1/p16-2096

Fast Exploring Literature by Language Machine Learning for Perovskite Solar Cell Materials Design

Lei Zhang, Yiru Huang, Leiming Yan, Jinghao Ge et al. • Advanced Intelligent Systems (2024)

Making computers automatically extract latent scientific knowledge from literature is highly desired for future materials and chemical research in the artificial intelligence era. Herein, the natural language processing (NLP)‐based machine ...

DOAJ Open Access (DOAJ) DOI: 10.1002/aisy.202300678

A systematic literature review on spam content detection and classification

Sanaa Kaddoura, Ganesh Chandrasekaran, Daniela Elena Popescu, Jude Hemanth Duraisamy • PeerJ Computer Science (2022)

The presence of spam content in social media is tremendously increasing, and therefore the detection of spam has become vital. The spam contents increase as people extensively use social media, i.e., Facebook, Twitter, YouTube, and E-mail. ...

DOAJ Open Access (DOAJ) DOI: 10.7717/peerj-cs.830

Tracking discussions of complementary, alternative, and integrative medicine in the context of the COVID-19 pandemic: a month-by-month sentiment analysis of Twitter data

Jeremy Y. Ng, Wael Abdelkader, Cynthia Lokker • BMC Complementary Medicine and Therapies (2022)

Abstract Background Coronavirus disease 2019 (COVID-19) is a novel infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Despite the paucity of evidence, various complementary, alternative and integr...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12906-022-03586-1

A Model-Driven Approach Employing DSL and Generation Templates to Accelerate the Development of Conversational Agents for Smart Tourism

Charaf Ouaddi, Lamya Benaddi, Adnane Souha, Hamza Abdelmalek et al. • IEEE Access (2025)

Conversational agents are intelligent, ubiquitous software applications widely used across various sectors, such as commerce, tourism, and more. Their key benefits include automating tasks, improving customer service, and ensuring service a...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3574641

Candyflipping and Other Combinations: Identifying Drug–Drug Combinations from an Online Forum

Michael Chary, David Yi, Alex F. Manini • Frontiers in Psychiatry (2018)

Novel psychoactive substances (NPS) refer to synthetic compounds or derivatives of more widely known substances of abuse that have emerged over the last two decades. Case reports suggest that users combine substances to achieve desired psyc...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyt.2018.00135