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Unclaimed ProfileAs artificial intelligence integrates deeper into our daily lives and professional workflows, understanding the ethical boundaries of tools like ChatGPT, Midjourney, and other large language models (LLMs) has become paramount. This comprehensive course, "Ethics & Generative AI (GenAI)" by seasoned instructor Steve Ballinger, offers a crucial deep dive into the complex landscape of AI-driven creation and its societal impact. Designed for professionals, creators, developers, and curious learners of all levels, the curriculum unpacks the dual nature of GenAI as both an innovative powerhouse and an ethical challenge. Participants will explore the mechanisms of deepfakes, examine critical data privacy issues, and dissect the intellectual property concerns currently shaping the legal and moral landscapes of tech. Beyond theoretical debates, the course provides actionable frameworks for implementing responsible AI guidelines within organizations. By the end of this program, students will possess the critical thinking skills required to safely navigate, implement, and advocate for ethical AI standards, ensuring they remain responsible digital citizens and forward-thinking industry leaders in a rapidly transforming world.
About the creator
Steve Ballinger
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Steve Ballinger is a seasoned investor and passionate educator dedicated to helping individuals achieve financial freedom and build wealth through the stock market. With a diverse teaching catalog that ranges from beginner-friendly investing fundamentals to advanced technical analysis and active day trading strategies, Steve brings practical, real-world experience to his learners. His approach to instruction is characterized by step-by-step guidance, stripping away complex financial jargon, and focusing on actionable methods that students can apply immediately. Beyond pure finance, Steve bridges the gap between modern technology and productivity, showing learners how to harness tools like ChatGPT for both efficient content creation…Show more
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Program Overview
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Learning format
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Price
Price may change · updated within 1–2 weeks
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What You'll Learn
- Analyze the multi-dimensional benefits and societal drawbacks of Generative AI tools to make balanced deployment decisions in professional settings.
- Deconstruct the mechanics and ethical threats of deepfakes to establish robust strategies for content verification and misinformation mitigation.
- Evaluate the critical data privacy, cybersecurity risks, and intellectual property challenges inherent to training and using modern LLMs.
- Implement practical frameworks and governance policies for the responsible, transparent, and fair integration of AI systems within corporate environments.
- Identify and mitigate algorithmic bias and hallucination tendencies in popular generative models like ChatGPT to ensure output accuracy.
- Determine the future trajectory of AI regulatory policies and global standards to proactively align organizational tech stacks with upcoming compliance requirements.
Best For
- Business managers and team leaders looking to implement AI policies safely.
- Content creators and developers concerned with intellectual property and copyright ethics.
- Compliance officers needing to understand the regulatory landscape of generative AI.
- Professionals who want to build critical thinking skills to address AI bias and misinformation.
Not For
- Software engineers seeking deep technical tutorials on building or training LLMs from scratch.
- Learners looking for beginner-level prompt engineering tips without an focus on ethics.
- Individuals seeking non-academic opinions or speculative futuristic predictions about AGI.
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