The Cost of Democratization - Open Source and the Future of Ethical Use

Explore the ethical implications of open source AI in this thought-provoking keynote address by Dr. Rumman Chowdhury, Global Lead for Responsible AI at Accenture Applied Intelligence. Delve into the complexities of democratizing technology, examining the potential costs and benefits of open source development in the context of ethical AI use. Gain insights into the parallels between AI and nuclear technology, the challenges of law and adversarial machine learning, and the importance of benchmarking in responsible AI development. Consider the impact on civil liberties and the future landscape of ethical AI as Dr. Chowdhury navigates through crucial topics including GPT models, responsibility in AI development, and the various "worlds" of AI application. Conclude with a deeper understanding of the intricate balance between innovation and ethical considerations in the rapidly evolving field of artificial intelligence.

Introduction
What is GPT
Open Source
Responsibility
Worlds
Nuclear
Law and adversarial machine learning
Benchmarking
Civil liberties
Conclusion