Transitioning to human interaction with AI systems: New challenges and opportunities for HCI professionals to enable human-centered AI

W Xu, MJ Dainoff, L Ge, Z Gao - International Journal of Human …, 2023 - Taylor & Francis
While AI has benefited humans, it may also harm humans if not appropriately developed.
The priority of current HCI work should focus on transiting from conventional human …

Distributed denial of service attack prediction: Challenges, open issues and opportunities

AB De Neira, B Kantarci, M Nogueira - Computer Networks, 2023 - Elsevier
Abstract Distributed Denial of Service (DDoS) attack is one of the biggest cyber threats.
DDoS attacks have evolved in quantity and volume to evade detection and increase …

Artificial intelligence in education: AIEd for personalised learning pathways.

O Tapalova, N Zhiyenbayeva - Electronic Journal of e-Learning, 2022 - ERIC
Artificial intelligence is the driving force of change focusing on the needs and demands of
the student. The research explores Artificial Intelligence in Education (AIEd) for building …

AlexNet convolutional neural network for disease detection and classification of tomato leaf

HC Chen, AM Widodo, A Wisnujati, M Rahaman… - Electronics, 2022 - mdpi.com
With limited retrieval of reserves and restricted capability in plant pathology, automation of
processes becomes essential. All over the world, farmers are struggling to prevent various …

[HTML][HTML] Where is the human in human-centered AI? Insights from developer priorities and user experiences

WJ Bingley, C Curtis, S Lockey, A Bialkowski… - Computers in Human …, 2023 - Elsevier
Human-centered artificial intelligence (HCAI) seeks to shift the focus in AI development from
technology to people. However, it is not clear whether existing HCAI principles and practices …

Topology optimization via machine learning and deep learning: a review

S Shin, D Shin, N Kang - Journal of Computational Design and …, 2023 - academic.oup.com
Topology optimization (TO) is a method of deriving an optimal design that satisfies a given
load and boundary conditions within a design domain. This method enables effective design …

Review of the theory, principles, and design requirements of human-centric Internet of Things (IoT)

KF Ystgaard, L Atzori, D Palma, PE Heegaard… - Journal of Ambient …, 2023 - Springer
The rapid evolution of Internet of Things (IoT) technologies, with ever more profound
implications for humans and societies, has triggered visions and initiatives to re-align the …

From explainable to interactive AI: A literature review on current trends in human-AI interaction

M Raees, I Meijerink, I Lykourentzou, VJ Khan… - International Journal of …, 2024 - Elsevier
AI systems are increasingly being adopted across various domains and application areas.
With this surge, there is a growing research focus and societal concern for actively involving …

[HTML][HTML] Human-centered neural reasoning for subjective content processing: Hate speech, emotions, and humor

P Kazienko, J Bielaniewicz, M Gruza, K Kanclerz… - Information …, 2023 - Elsevier
Some tasks in content processing, eg, natural language processing (NLP), like hate or
offensive speech and emotional or funny text detection, are subjective by nature. Each …

Aligning language models with human preferences via a bayesian approach

J Wang, H Wang, S Sun, W Li - Advances in Neural …, 2023 - proceedings.neurips.cc
In the quest to advance human-centric natural language generation (NLG) systems,
ensuring alignment between NLG models and human preferences is crucial. For this …