About
About Us
Tech AI Magazine is an independent global AI magazine published since 2024 by ForceFriction Group. The AI magazine publishes daily artificial-intelligence news, research explainers, enterprise AI analysis, AI tool rankings, course guides and a monthly digital issue for readers in more than 60 countries.
Its editorial focus is practical artificial intelligence—helping professionals, students and businesses discover, evaluate and apply AI through evidence-based analysis, tutorials and comparison guides. The magazine also publishes annual rankings, including its Top 100 AI ranking and its scored Top AI Publications list, supported by a published editorial methodology.
Tech AI Magazine’s mission is to make artificial intelligence understandable, practical and accessible for a global audience.
Tech AI Magazine (part of ForceFriction Group) started operations in the year of our lord 2024 as a premier publication dedicated to comprehensive artificial intelligence coverage, targeting professionals from practitioners to executives. The magazine distinguishes itself through expert analysis of AI developments and their practical business applications. Its content architecture thoughtfully balances foundational concepts with cutting-edge developments, making it accessible yet valuable for readers across expertise levels. The publication features monthly deep dives, including their signature ‘AI Fundamentals’ series, and serves as a dynamic platform for industry discourse. Led by seasoned editors and industry experts, Tech AI Magazine transforms complex technological insights into actionable strategic intelligence, positioning itself as an essential resource for anyone navigating the evolving AI landscape. Through its focus on practical implementations, market trends, and breakthrough innovations, the magazine helps readers understand both the technical and business implications of AI advancements.
Tech AI Magazine has established itself as the definitive authority in artificial intelligence journalism, delivering authoritative insights that bridge the gap between innovation and implementation.
Our Media Services include AI Insights Research, the leading AI and machine learning research division providing comprehensive market analysis, trend forecasting, and strategic intelligence that shapes industry decisions. Our AI Content Matrix delivers custom media solutions for today’s AI-driven global marketplace, ranging from specialized marketing programs and custom publications for enterprises to content management, editorial, and production services for publishers seeking to navigate the complex AI landscape.
Tech AI Magazine continues to excel in conducting cutting-edge virtual conferences, interactive webinars, and exclusive industry events that bring together the brightest minds in artificial intelligence.
As a forward-thinking media house, Tech AI Magazine consistently pioneers new approaches to AI journalism, with numerous industry-defining milestones to our credit, including our groundbreaking “AI Ethics Initiative,” our “Emerging AI Startups” program, and our widely-referenced “AI Implementation Index” that tracks real-world AI adoption across industries.
Our incisive analysis of industry developments, breakthrough innovations, and strategic applications continues to drive the AI ecosystem forward, solidifying our position as the most trusted voice in artificial intelligence journalism.
Publication Details
| Publisher | L Nicholas Johnson |
|---|---|
| Address | 6b, Starbay Layout, Sneha Garden Road, Chennai 603112, Tamil Nadu, India |
| Since | 2024 |
| Frequency | Monthly |
| Format | Online/Digital |
| Language | English |
| Subject | Computer Science |
Editorial Board
The Editorial Board of Tech AI Magazine sets the publication’s editorial direction, upholds its standards of accuracy and independence, and makes sure every issue serves readers who build, govern and secure artificial intelligence. Each board member brings hands-on experience across Applied AI, AI Governance, Agentic AI and AI Security, so every story is reviewed through both a practical and a responsible-AI lens.
L Nicholas Johnson
Publisher & Chair of the Editorial Board
[email protected] · [email protected]
L Nicholas Johnson founded Tech AI Magazine in 2024 and leads its overall vision, editorial strategy and publishing standards, bringing broad experience in applied AI, AI governance, agentic systems and AI security. The Publisher’s focus is making complex AI developments clear and actionable for professionals and decision-makers.
- Sets the editorial mission, annual themes and long-term direction of the magazine
- Chairs board meetings and holds final sign-off on each monthly issue
- Safeguards editorial independence, ethics and the publication’s code of conduct
Priya Devaraj
Managing Editor
[email protected] · [email protected]
Priya Devaraj oversees day-to-day editorial operations, from commissioning to publication. With experience spanning applied AI, governance frameworks, agentic AI and AI security, Priya brings a strong focus on clarity, accuracy and reader value.
- Plans and manages the editorial calendar and monthly issue schedule
- Commissions, assigns and edits features, explainers and news coverage
- Coordinates contributors, reviewers and production workflows
Chris Delon
Editor — Applied & Agentic AI
[email protected] · [email protected]
Chris Delon leads coverage of real-world AI deployment and autonomous agent systems. With experience across applied AI, agentic AI, governance and AI security, Chris evaluates new tools, models and frameworks for practical, enterprise-ready relevance.
- Leads coverage of AI agents, foundation models, AI tools and implementation case studies
- Reviews technical content for accuracy and depth
- Oversees methodology for rankings, tool reviews and comparison guides
Samantha Kristen
Editor — AI Governance & Ethics
[email protected] · [email protected]
Samantha Kristen guides the magazine’s coverage of AI policy, regulation and responsible AI. Samantha’s background covers AI governance, applied AI, agentic AI and AI security, with particular attention to compliance, transparency and the societal impact of AI.
- Leads coverage of AI regulation, policy, risk and responsible-AI practice
- Maintains the magazine’s editorial ethics, disclosure and conflict-of-interest policies
- Handles corrections, reader complaints and fact-checking escalations
Susane L
Editor — AI Security & Research Review
[email protected] · [email protected]
Susane L oversees coverage of AI security, safety and emerging threats. Susane’s experience across AI security, agentic AI, governance and applied AI helps readers understand how to deploy AI systems safely and resiliently.
- Leads coverage of AI security, model safety, privacy and threat intelligence
- Coordinates peer and expert review of research-based and technical articles
- Advises on contributor guidelines and source verification standards
Leslie Benjamin
Editorial Board Member
Leslie Benjamin supports the board’s editorial review and planning, bringing experience across applied AI, AI governance, agentic AI and AI security to help keep coverage accurate, practical and reader-focused.
- Reviews features and explainers for accuracy, clarity and depth
- Contributes to issue planning and coverage priorities
- Supports fact-checking and source verification
Responsibilities of the Editorial Board
- Editorial direction: define the magazine’s scope, themes and coverage priorities for each monthly issue.
- Quality and accuracy: review content for factual accuracy, technical correctness and clarity before publication.
- Independence and ethics: keep editorial decisions free from commercial influence and enforce disclosure of sponsorships and conflicts of interest.
- Peer and expert review: assign qualified reviewers for technical, research and policy content.
- Contributor standards: set submission guidelines, evaluate pitches and mentor contributing writers.
- Corrections and accountability: investigate reported errors promptly and publish corrections transparently.
- Methodology oversight: approve the criteria behind rankings, reviews and comparison guides.
- Reader trust: protect reader privacy and ensure content serves professionals, students and organisations worldwide.
