Journal · ABDC A
PhD · Information Systems · UNT
Ali Safari.
I study how people and organizations can trust AI when the stakes are real: security, governance, and everyday work.
- 10
- papers
- 10+
- years in tech
- 345
- field notes
Ideas that have to work in organizations. Not just on slides.
About
As a PhD candidate at UNT, I work with Dr. Dan J. Kim on trust and security, Dr. Justin Ku on open-set recognition, Dr. Anna Sidorova on agentic AI delegation, and Dr. Hoon Choi on social media analytics.
Before academia I built technology businesses for a decade, including Rasa. During the PhD I also shipped RaSEC, a free security platform for students and researchers.
Research
Six threads I keep pulling.
Agentic AI & Delegation
How humans and AI systems hand off authority, and how control stays sane when the agent moves fast.
Explore → 02Trust in Intelligent Systems
When trust is calibrated, overdone, or broken. Especially in cybersecurity decisions.
Explore → 03Open-Set Threat Detection
Teaching models to notice attacks they have never seen, with Extreme Value Machines.
Paper → 04AI Governance
Who is accountable when an AI system fails, and what organizations actually put in place.
Explore → 05Privacy & Disclosure
Why people share data in one context and freeze in another. Risk, benefit, boundary.
Explore → 06IS Theory & Adoption
How organizations absorb new systems. Classic IS theory meeting messy practice.
Explore →AMCIS · CORE A
Open-Set Fake News Detection Framework: Addressing Algorithm Aversion through AI Geometric Bounding
AMCIS ↗AMCIS · CORE A
Managerial Discretion as Operational Insurance: Quasi-Experimental Evidence from Professional Football
AMCIS ↗ICIS · CORE A*
Enhancing IoT Security and Information Systems Resilience: An Extreme Value Machine Approach
ICIS ↗ICIS · CORE A*
Decomposing Attention in Creator Platforms: Content Quality, Social Capital, and Algorithmic Exposure
ICIS ↗ASC
Calibrating Human Trust in AI Cybersecurity Alerts: Real-Time Confidence Feedback
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Field Notes
345 short reactions
Quick takes on IS research, AI, and theory. Not tidy summaries.
The IT Artifact Is Not Optional
Fifty-six percent. Sarker et al. coded the IS literature and found that is how often the IT artifact itself was missing.
Read → Agentic AIAgentic AI Changes Organizational Design
I counted eleven posts on agentic AI market sizing. Almost none asked what the organization has to become.
Read → TheoryThe Cognitive Offloading Problem
Five hundred and ten citations in its first year. And IS still barely asks what we stop practicing when AI remembers for us.
Read →How I see the field
Integration over adoption. Decision quality over prediction theater. Security and privacy in the center, not the appendix.