AI Policy, Rights, & Risk
AI introduces new questions about rights, responsibility, and risk—often before organizations realize they need answers.
This category is dedicated to the governance side of AI in publishing and writing. That includes internal policies, author trust, contractual implications, data use, disclosure, and the quiet risks that emerge when decisions are made by default instead of design.
These posts are not legal advice. They are strategic starting points meant to help teams and creators understand where clarity is needed, what questions to ask, and how to prepare before platforms, vendors, or external pressure force the issue.
If you care about protecting creative work, professional relationships, and long-term credibility, this category provides the framing needed to approach AI with responsibility rather than reaction.
The AI Contract Clause Most Publishers Never Read
Most AI company contracts promise not to train on your data, but include no way to verify it. What publishers should ask before they sign.
What Kind of AI Security Does Your Publisher Have?
Publishing has a security problem, and it has nothing to do with hackers. Here’s a three-part system to protect content and trust.
AI Governance in Publishing: The Compliance Dividend
AI governance in publishing is a revenue strategy, not red tape. Cross-industry data from Cisco, IBM, and HBR shows why governance-first publishers outperform.
Most Publishers Don’t Have an AI Policy. Here’s Why That’s a Problem.
Most publishing organizations still don’t have a formal AI policy. Here’s why that’s a problem, and what a strong one actually covers.
If You’re Only Reading US Publishing News, You’re Missing Most of the AI Story
AI in publishing isn’t just a US story. See why global AI in publishing decisions matter to every US publisher and how Publishing Perspectives covers it daily.
Why BISG Should Be Deciding How AI Shows Up in Publishing (And What Its 2025 Survey Found)
The 2025 BISG/BookNet AI survey found 46% of publishing professionals use AI but 98% have concerns. Here’s what the data means.
What It Means to Be “Human-First” in an AI Era
What it really means to be “human-first” in an AI era and how publishers can codify values, protect craft, and adopt AI without losing trust or accountability.
The First AI Policies Every Publishing Team Should Have (Before Platforms Force the Issue)
The first AI policies publishing teams need to set boundaries, reduce legal risk, and protect authors before platforms define the rules for them.