Toju Duke
A walkthrough on Responsible AI Frameworks and Case Studies
#1about 4 minutes
The current state and investment in AI technology
AI is experiencing significant investment and technological breakthroughs, making it a critical part of modern technology.
#2about 3 minutes
Positive use cases of AI for social good
AI applications like Google's Project Euphonia and Microsoft's AI for Earth demonstrate the potential to solve major societal problems.
#3about 2 minutes
Recent breakthroughs in large generalist AI models
Large generalist models like DALL-E and Imagen are pushing the boundaries of AI by generating high-quality images from text prompts.
#4about 9 minutes
Case studies of AI causing societal harm
Real-world examples, from wrongful arrests via facial recognition to biased recruitment software, highlight the severe negative impacts of irresponsible AI.
#5about 8 minutes
A practical framework for building responsible AI
Implement a responsible AI framework using techniques like data audits, adversarial testing, human-in-the-loop processes, and safety classifiers.
#6about 1 minute
The collective responsibility to build ethical technology
Everyone in the tech industry shares the responsibility to build products ethically and transparently, without waiting for regulation.
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01:31 MIN
Responsible AI is more than just legal compliance
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02:33 MIN
Considering the ethical responsibility of building AI systems
Bringing the power of AI to your application.
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01:19 MIN
Implementing responsible AI principles by design
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05:48 MIN
Implementing responsible AI and data privacy in enterprises
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01:57 MIN
Integrating responsible AI into product development from day one
Behind the Code: How Women Are Powering the Future of AI
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04:48 MIN
The role of regulation and ethics in AI development
The shadows that follow the AI generative models
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01:46 MIN
Establishing a framework for trustworthy AI development
Trust by Design: Creating Responsible AI-Powered Services
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02:02 MIN
Embracing developer responsibility in the age of AI
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