IEEE IT Professional

IEEE IT Professional IT Professional is a technical magazine of the IEEE Computer Society.

It publishes peer-reviewed articles, columns and departments written for and by IT practitioners and researchers. Bimonthly publication of the IEEE Computer Society for IT executives, IT project managers, IT researchers, and IT application developers.

06/07/2026

Is your AEC practice ready to unlock the next wave of digital design? In landscape projects, recombining data from diverse digital artifacts is becoming a core capability that drives agility and interoperability 🌐.

Big data analytics for targeted decisions, paired with continuous real-scene imaging, can boost cost control and reduce waste 💸♻️. This integrated approach charts a practical path for practitioners aiming to advance AEC practices through innovative ICT—read the full piece to see how it all comes together 🚀.

Authors: Yu-I Lai, Tzu-Chuan Chou, Ling-Pu Huang
Year: 2025
Issue: 06
DOI: 10.1109/MITP.2025.3611525
URL: https://www.computer.org/csdl/magazine/it/2025/06/11311368/2cEUtrMTryM

06/04/2026

Could AI do more than imitate language—could it emulate idiosyncratic human behaviors? Large language models are showing nuanced quirks that resemble individual researchers, raising questions for how we conduct studies 🤖.

Their expanding use in research could reduce the necessity for human input, while intensifying the need for AI alignment and thoughtful governance. Read how these behaviors influence study design and interpretation 🔎.

The article explores implications for theory of mind, cognitive biases, and the societal role of AI— a must-read for researchers, ethicists, and leaders navigating a future where machines share the stage with humans 🌐.

Authors: Dionysios Demetis, Jeandri Robertson, Andrew Flostrand, Caitlin Ferreira, Richard T. Watson, Ian McCarthy, Jan Kietzmann, Leyland Pitt, Amir Dabirian
Year: 2025
Issue: 06
DOI: 10.1109/MITP.2025.3633473
URL: https://www.computer.org/csdl/magazine/it/2025/06/11311370/2cEUu7AKKfS

05/31/2026

Are your large-scale Agile efforts delivering real value, or just rituals? A qualitative study of two Swedish companies implementing Large-Scale Scrum and the Scaled Agile Framework identifies six indicators of superficial scaling and five actionable strategies to close the gap between espoused theory and actual practice. 🤔

The authors advocate a continuum of scaling maturity—not a binary 'real' vs 'fake'—and reveal tensions between control and autonomy, process and mindset, and structure and adaptation that shape outcomes in large organizations. 💡

As AI enters the debate, the article asks whether AI will enable authentic agility or amplify superficial compliance. A compelling read for leaders focused on organizational culture, decision making, and customer value. 🔎

Authors: Muhammad Ovais Ahmad
Year: 2025
Issue: 06
DOI: 10.1109/MITP.2025.3620030
URL: https://www.computer.org/csdl/magazine/it/2025/06/11311387/2cEUulfcA8g

05/28/2026

What happens to leadership when there are no traditional employees? Ultimate Frontier Firms show AI redefining the span of control, expanding—or even redefining—how supervision works 🤖

From agentic and conversational AI to chatbots, AI reshapes management, lowers transaction costs, and changes who holds the keys to directing work 🧭

To grasp the full picture, explore how frontier firms scale intelligence beyond people and what this means for strategy, governance, and the future of work 🚀

Authors: Cai Feng, Christine Pitt, Kerstin Heilgenberg, Jan Kietzmann, Leyland Pitt, Amir Dabirian
Year: 2026
Issue: 02
DOI: 10.1109/MITP.2026.3673383
URL: https://www.computer.org/csdl/magazine/it/2026/02/11488961/2fRF2FimmCA

05/24/2026

AI tactics that actually move the needle start with governance, not just grand ambitions. Establish an AI governance framework—policies, regulatory alignment, oversight, and documentation—to turn hype into reliable, compliant ex*****on ⚙️📚

Then build a small, rapid-prototyping squad that targets quick, high-impact pilots. Use process mining to expose broken processes worthy of fixing, and select the right tool for the job: machine learning for prediction, generative AI for creation, or an AI agent for autonomous actions 🚀

Measure success with prototypes that exceed the human baseline, and learn as you go. Read on to see how these tactical steps come together in practice 🎯

Authors: Stephen J. Andriole
Year: 2025
Issue: 06
DOI: 10.1109/MITP.2025.3632495
URL: https://www.computer.org/csdl/magazine/it/2025/06/11311385/2cEUuFNpV1S

05/20/2026

Is your university ready to unlock AI's promise without compromising academic integrity? A new study on the Armenian State University of Economics (ASUE) examines how to balance opportunity and ethics in higher education 🤖.

Drawing on global guidelines and a ASUE faculty survey, it highlights policy gaps and ethical dilemmas—and proposes a framework for responsible AI integration centered on clear rules, transparency, and AI literacy training to foster trust and innovation 🔍📚

Authors: Lusine Harutyunyan, Lilit Bekaryan, Aghavni Hakobyan, Vardan Atoyan
Year: 2026
Issue: 02
DOI: 10.1109/MITP.2026.3665817
URL: https://www.computer.org/csdl/magazine/it/2026/02/11488967/2fRF0IWIOoE

05/17/2026

Are we on the cusp of a tech-biotech era that could redefine employment as we know it? The rapid advances in IT, AI, and biology promise huge opportunities, yet global warming, shrinking/aging populations, and automation threaten jobs. 🚀🤖

This analysis explores how these forces intersect—from generative AI becoming a digital assistant to biotech breakthroughs changing medicine and industry—and why you’ll need the full article to get the complete picture for work, policy, and capitalism. 🌍🔎

Read the in-depth perspectives from George Strawn and the IT Professional team to understand what the next decade might hold.

Authors: George Strawn
Year: 2025
Issue: 03
DOI: 10.1109/MITP.2025.3569812
URL: https://www.computer.org/csdl/magazine/it/2025/03/11029705/27t0tEKSe5y

05/15/2026

Can Generative AI reshape government policy making? A Taiwan case study shows GenAI moving from hype to real-world policy support at STPI. It frames the challenge as boundary issues—literacy, knowledge, and ownership—that shape how AI can be trusted in decisions. 🤖

By deploying retrieval-augmented generation (RAG), STPI overcomes these barriers, boosting the accuracy and speed of policy formulation and enabling better cross-department collaboration. This is more than technology—it's a new approach to integrating data across disciplines. 💡📈

The study signals a future where AI-powered insights help policymakers ask precise questions and act in real time. If you’re tracking AI's role in government, this case study is essential reading. 🧭

Authors: Yi-Syuan Huang, Chen-Hao Huang, Bai-Li Hwang
Year: 2025
Issue: 06
DOI: 10.1109/MITP.2025.3566740
URL: https://www.computer.org/csdl/magazine/it/2025/06/11311400/2cEUvGdsWru

05/10/2026

Is your leadership ready for AI to stop just assisting and start deciding for you? Tough Talk About Business and Technology (Part 1) pulls the curtain on the hidden realities of tech management, where meritocracy is often fictional and consultants serve as air cover for internal decisions. This uncomfortable analysis lays bare the risks as AI, ML, and agentic systems move from helpers to full partners—or replacements. 🤖

To survive, executives must track concrete trajectories—problem-domain readiness and competitive use—before strategy becomes a spreadsheet of tactics. The piece also warns against the trap of enterprise apps and urges prioritizing competence, genuine individual contributors, and cyberbreach avoidance. Read the full argument to see what your leadership blueprint should actually look like in an AI-empowered era. 🔒

Authors: Stephen J. Andriole
Year: 2026
Issue: 02
DOI: 10.1109/MITP.2026.3672963
URL: https://www.computer.org/csdl/magazine/it/2026/02/11488955/2fRF1pSpr5C

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