Cover Image

Trustworthy AI in practice: an analysis of practitioners' needs and challenges

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Baldassarre, Maria Teresa, Gigante, Domenico, Kalinowski, Marcos, Ragone, Azzurra, Tibidò, Sara
Format:	Preprint
Published:	2024
Subjects:	Computers and Society Artificial Intelligence Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

POLARIS: A framework to guide the development of Trustworthy AI systems
by: Baldassarre, Maria Teresa, et al.
Published: (2024)

The Social Impact of Generative AI: An Analysis on ChatGPT
by: Baldassarre, Maria T., et al.
Published: (2024)

RE-centric Recommendations for the Development of Trustworthy(er) Autonomous Systems
by: Ronanki, Krishna, et al.
Published: (2023)

A System for Automated Unit Test Generation Using Large Language Models and Assessment of Generated Test Suites
by: Lops, Andrea, et al.
Published: (2024)

LLMs for Automated Unit Test Generation and Assessment in Java: The AgoneTest Framework
by: Lops, Andrea, et al.
Published: (2025)

Can participation in a hackathon impact the motivation of software engineering students? A preliminary case study analysis
by: Araújo, Allysson Allex, et al.
Published: (2024)

Towards AI Agents Supported Research Problem Formulation
by: Pereira, Anrafel Fernandes, et al.
Published: (2025)

AI Act for the Working Programmer
by: Hermanns, Holger, et al.
Published: (2024)

Impact of AI-tooling on the Engineering Workspace
by: Chretien, Lena, et al.
Published: (2024)

Embracing Experiential Learning: Hackathons as an Educational Strategy for Shaping Soft Skills in Software Engineering
by: Araújo, Allysson Allex, et al.
Published: (2025)

Balancing Innovation and Ethics in AI-Driven Software Development
by: Baqar, Mohammad
Published: (2024)

LeafTutor: An AI Agent for Programming Assignment Tutoring
by: Bochard, Madison, et al.
Published: (2025)

Scaling CS1 Support with Compiler-Integrated Conversational AI
by: Renzella, Jake, et al.
Published: (2024)

Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development
by: Pant, Aastha, et al.
Published: (2024)

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection
by: Orel, Daniil, et al.
Published: (2025)

Do Generative AI Tools Ensure Green Code? An Investigative Study
by: Sikand, Samarth, et al.
Published: (2025)

Rapid Mobile App Development for Generative AI Agents on MIT App Inventor
by: Gao, Jaida, et al.
Published: (2024)

Fairness Concerns in App Reviews: A Study on AI-based Mobile Apps
by: Nasab, Ali Rezaei, et al.
Published: (2024)

Bridging the Skills Gap: A Course Model for Modern Generative AI Education
by: Bardach, Anya, et al.
Published: (2025)

Understanding Student Interaction with AI-Powered Next-Step Hints: Strategies and Challenges
by: Birillo, Anastasiia, et al.
Published: (2025)

A governance horizon for ethical-use constraints in open-weight AI models
by: Xu, Weiwei, et al.
Published: (2026)

Using AI-Based Coding Assistants in Practice: State of Affairs, Perceptions, and Ways Forward
by: Sergeyuk, Agnia, et al.
Published: (2024)

Enhancing Educational Efficiency: Generative AI Chatbots and DevOps in Education 4.0
by: Mekić, Edis, et al.
Published: (2024)

Evaluating Generative AI for CS1 Code Grading: Direct vs Reverse Methods
by: Memon, Ahmad, et al.
Published: (2025)

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems
by: Bloomfield, Robin, et al.
Published: (2025)

A Survey for What Developers Require in AI-powered Tools that Aid in Component Selection in CBSD
by: Ansari, Mahdi Jaberzadeh, et al.
Published: (2025)

Enhancing Debugging Skills with AI-Powered Assistance: A Real-Time Tool for Debugging Support
by: Artser, Elizaveta, et al.
Published: (2026)

GenAI Integration into Engineering Education: A Case Study of an Introductory Undergraduate Engineering Course
by: Kozan, Kadir, et al.
Published: (2026)

Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs
by: Sikand, Samarth, et al.
Published: (2025)

The Vibe-Check Protocol: Quantifying Cognitive Offloading in AI Programming
by: Aiersilan, Aizierjiang
Published: (2026)

Impacts of Generative AI on Agile Teams' Productivity: A Multi-Case Longitudinal Study
by: Tomaz, Rafael, et al.
Published: (2026)

Architectures of Error: A Philosophical Inquiry into AI and Human Code Generation
by: Sartori, Camilo Chacón
Published: (2025)

Securing the AI Frontier: Urgent Ethical and Regulatory Imperatives for AI-Driven Cybersecurity
by: Kulothungan, Vikram
Published: (2025)

An AI System Evaluation Framework for Advancing AI Safety: Terminology, Taxonomy, Lifecycle Mapping
by: Xia, Boming, et al.
Published: (2024)

Towards a Framework for Operationalizing the Specification of Trustworthy AI Requirements
by: Villamizar, Hugo, et al.
Published: (2025)

Fuzzy Intelligent System for Student Software Project Evaluation
by: Ogorodova, Anna, et al.
Published: (2024)

Benefits and Risks of Using ChatGPT4 as a Teaching Assistant for Computer Science Students
by: Aragonés-Soria, Yaiza, et al.
Published: (2024)

Logic Error Localization in Student Programming Assignments Using Pseudocode and Graph Neural Networks
by: Xu, Zhenyu, et al.
Published: (2024)

Design of a Quality Management System based on the EU Artificial Intelligence Act
by: Mustroph, Henryk, et al.
Published: (2024)

Code-Driven Law NO, Normware SI!
by: Sileno, Giovanni
Published: (2024)