AI Today Podcast: Trustworthy AI Series: Responsible AI
Sep 6, 2023
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The podcast discusses the importance of responsible AI and highlights the need to consider laws, protect privacy, and ensure safety. It emphasizes the importance of open evaluation and reevaluation of AI systems and explores practical steps for implementing responsible AI. The hosts also introduce the Trustworthy AI Series and promote a free intro to trustworthy AI course.
Responsible AI emphasizes ethical use, human accountability, and prevention of intentional misuse or abuse.
Purposeful AI focuses on building systems with clear benefits, avoiding unnecessary implementation, and considering potential consequences.
Deep dives
Responsible AI: Building AI Systems the Right Way
Responsible AI is about doing things the right way, ensuring that AI systems are built and used ethically and responsibly. This includes considerations like not violating laws or abusing people's privacy. It also emphasizes the need for well-defined human accountability and the prevention of intentional misuse or abuse of AI technology. Examples of responsible AI include using facial recognition technology in a responsible manner and ensuring that user data is used and protected responsibly. Implementing responsible AI means considering the positive purpose of AI systems, building them with safety and reliability in mind, maintaining data privacy, and being aware of potential risks and the evolving global regulatory landscape.
Purposeful AI: Focusing on the Reason and Benefit
Purposeful AI means that AI systems should have a clear reason and benefit. It's not just about what the system does, but why it is being built in the first place. Being aware of the user need and the positive impact that the AI system can bring is crucial. It's important to avoid building AI systems just for the sake of implementing AI. Examples of irresponsible AI include using AI for hiring without a clear purpose or benefit. Building purposeful AI entails careful consideration of the potential consequences and ensuring that the technology is used in a beneficial and responsible manner.
Safety, Reliability, and Misuse Prevention
Safety and reliability are crucial aspects of responsible AI. AI systems should be built with safety in mind, ensuring that humans are not endangered due to neglect or carelessness. Reliability is important for the proper functioning of AI systems throughout their lifecycle. Additionally, preventing the intentional misuse of AI is essential, as using AI for malicious and criminal purposes can have severe consequences. This includes preventing deception, corruption, and intentional violation of laws and regulations through AI systems. It is crucial to establish human accountability and ensure that AI systems are secure, both physically and in terms of software. Regular reevaluation and openness to alternative solutions are also key aspects of responsible AI.
AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas.