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AI Ethics and Business Integrity: What Every Business Owner Should Know AI is transforming the way we work—but are we paying attention to the ethical risks that come with it? In this LinkedIn Live replay, Erin Austin, attorney and founder of Think Beyond IP, breaks down the ethical concerns businesses face when using AI, especially when it comes to attribution, bias, and autonomous (agentic) decision-making. ✔ Should you credit AI when using it to write or create? ✔ How hidden biases in training data could impact your business decisions ✔ What agentic AI is—and why it might be more dangerous than you think Whether you're using AI for content, data analysis, or decision support, understanding the ethical implications is just as important as understanding the legal ones. Erin offers expert guidance and practical takeaways for ensuring you’re using AI responsibly while maintaining trust, transparency, and control. 👉 If your business creates deliverables for clients using AI—like strategy decks, messaging, logos, or brand frameworks—this conversation is essential. 📩 Join the waitlist for Erin’s upcoming AI Best Practices Masterclass: Thinkbeyondip.com/Aiworkshop 💬 Drop your questions in the comments—let’s keep this conversation going! 🔔 Don’t forget to like, subscribe, and hit the bell to stay updated on legal and ethical issues for expertise-based businesses. Chapters 00:00 Welcome & Overview 01:49 What AI Ethics Really Means for Business 03:54 Attribution and Plagiarism with AI 10:08 When to Credit AI (and When Not To) 14:23 Understanding Bias in AI 17:58 What is Agentic AI? 20:11 Masterclass Announcement & Closing Thoughts #AIethics #BusinessIntegrity #AIforBusiness #LegalTips #Attribution #BiasInAI #AgenticAI #ThinkBeyondIP #ScalingExpertise