Charting the Course for Responsible AI Innovation | Josh Cavalier
00:00 Josh's Interesting Starting Story
04:18 Artificial Intelligence in Skill Dev
12:17 The Role of AI Policies and Governance
20:45 The Future of AI and Human Interaction
24:39 Limitations of Artificial General Intelligence
27:59 Importance of Prompt Engineering in AI
35:08 Advice for Leaders in Implementing AI
42:00 Josh’s MAGIC
💕 Story Overview
In this conversation with @Josh Cavalier, who highlights the role of AI policies and governance in organizations and shares examples of AI policies in different companies. He also emphasizes the importance of data and compute power in AI and the considerations for uploading intellectual property (IP) to AI models.
Story Takeaways
Leaders must implement AI policies that align with organizational goals, collaborating with teams to maximize benefits and minimize risks. This process requires ongoing review and adaptation to evolving technologies and ethical considerations. Effective leadership in AI governance ensures responsible adoption while supporting business objectives.
Human-in-the-loop (HITL) systems keep humans actively engaged in AI-driven decision processes, allowing for oversight, intervention, and final judgment. This approach improves accuracy, reduces errors, and incorporates human intuition and ethics, particularly in high-stakes fields like healthcare and finance.
Prompt engineering remains valuable for optimizing AI performance, adapting as models become more sophisticated. While AI interactions are increasingly user-friendly, advanced prompting skills are crucial for specialized tasks and maximizing AI potential. The art of effectively guiding AI systems continues to evolve, maintaining its importance in the field.
Josh’s MAGIC?
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Develop your AI policy in the organization:
Talent will still use AI even when the policy disallows it: https://youtu.be/HJdTxTZabBU
Adobe's confidence in AI image IP protection: https://youtu.be/mX0LkCled8Y
Protect your IP when uploading information to AI platforms: https://youtu.be/yhX1AtIRhpY
Create quality multiple choice questions using AI: https://youtu.be/GeS4u964NWY
AI needs to know when to consult with humans to make critical decisions: https://youtu.be/MRPEQ08gHfk
Josh's robot instructor or musician: https://youtu.be/Y-wwvWlkyOU
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Picht, P. G., & Thouvenin, F. (2023). AI and IP: Theory to policy and back again–policy and research recommendations at the intersection of artificial intelligence and Intellectual Property. IIC-International Review of Intellectual Property and Competition Law, 54(6), 916-940.
Cardon, P. W., Getchell, K., Carradini, S., Fleischmann, C., & Stapp, J. (2023). Generative AI in the workplace: Employee perspectives of ChatGPT benefits and organizational policies.
Korzynski, P., Mazurek, G., Krzypkowska, P., & Kurasinski, A. (2023). Artificial intelligence prompt engineering as a new digital competence: Analysis of generative AI technologies such as ChatGPT. Entrepreneurial Business and Economics Review, 11(3), 25-37.
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Josh has been creating learning solutions for corporations, government agencies, and secondary education institutions for thirty years. He is an expert in the field of Learning & Development and has applied his industry experience to the application of ChatGPT and other Generative AI frameworks for performance improvement. Josh is passionate about sharing his knowledge and has a popular YouTube channel that shares tips and tricks on Generative AI. He is a seasoned speaker presenting at conferences like DevLearn, Learning Solutions, ATD ICE, TechKnowledge, NAB, and Adobe MAX.
Get 250+ Prompts for Learning & Development:
https://www.joshcavalier.com/150Prompts
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Disclaimer
The content shared is to highlight the passion and wonder of our guests. It is not professional advice. Please read our evidence-based research to help you develop your unique understanding.
AI technologies have been utilized to assist in creating content derived from genuine conversations. All generated material undergoes thorough human review to ensure accuracy, relevance, and quality.
