Category Archives: Compliance Issues

The 7 Rules of Human-Led Creation: Protecting Originality in an AI-Assisted World

By John Fisher, J.D. The 7 Rules of Human-Led Creation Generative artificial intelligence has made creative production faster, more accessible, and more complicated. A writer can test dozens of structures in minutes. A designer can explore visual directions before opening … Continue reading →

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Preserving Your Copyright When Using AI-Assisted Songwriting

Practical steps for protecting your original contributions while using artificial intelligence as a creative tool Artificial intelligence can help songwriters brainstorm ideas, explore melodies, develop arrangements, and overcome creative blocks. However, using AI in the songwriting process can raise important … Continue reading →

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The New Creative Frontier: Human Authorship in a Hybrid Age

The first decades of the twenty‑first century reshaped the architecture of music creation. Digital audio workstations replaced tape. Virtual instruments replaced hardware. Global distribution replaced gatekeepers. Each transformation expanded the reach of creators while compressing the distance between inspiration and … Continue reading →

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Why Generative AI Creates Unique Governance Challenges

Generative artificial intelligence has changed the governance problem. Earlier AI governance frameworks were largely built around predictive systems that classify inputs, estimate probabilities, rank options, or recommend decisions. Those systems can create serious risks, but their outputs are usually constrained … Continue reading →

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Human-Led AI Creation and AI Copyright Protection: A Practical Framework

Why copyright protection, human authorship, documentation, and AI governance must evolve together By John Fisher, J.D. — Compliance & Governance Attorney Human-led AI creation can preserve AI copyright protection when creators make identifiable expressive choices, document their contributions, disclose AI-generated … Continue reading →

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AI Governance Risks: AI Ethics, Compliance, and Oversight Strategies

AI Ethics, Compliance, and Oversight Strategies AI governance risks explained: explore AI ethics, regulatory compliance, bias, privacy, security, transparency, accountability, and lifecycle AI oversight. AI governance encompasses the laws, policies, institutional responsibilities, technical standards, and organizational practices used to guide … Continue reading →

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Organizational Drift in Artificial Intelligence Governance

AI Risk Area – Organizational Drift Organizational drift in artificial intelligence governance occurs when an organization’s actual AI practices gradually diverge from approved policies, controls, and responsibilities. This overview explains why AI governance programs are vulnerable to drift, how to … Continue reading →

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OSHA Citation Lessons: Written Safety Plans Required by OSHA Standards

Federal OSHA does not require every employer to maintain a single, companywide written safety plan. Instead, particular OSHA standards require written plans, procedures, certifications, or programs when specified hazards or operations are present. In manufacturing, construction, healthcare, warehousing, maintenance, laboratories, … Continue reading →

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From Contract Signature to Continuous AI Governance in Third-Party Risk Management

Creating Artificial Intelligence Governance and Oversight Programs — 2026 Expanded Edition From John Fisher, J.D., Attorney at Law | Continuous AI Governance Most AI governance attention focuses on the procurement and contracting phase. Organizations invest substantial time and resources in … Continue reading →

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Understanding HIPAA and Its Interaction with State and Federal Confidentiality Laws

HIPAA privacy compliance, state health information confidentiality laws, Wisconsin medical record privacy, mental health record protections, and 42 CFR Part 2 substance use disorder records Wisconsin Health Lawyer John Fisher HIPAA Privacy Compliance as the Baseline Framework Executive summary: HIPAA … Continue reading →

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