Joanna Ng, Master Inventor, discusses the risks of trusting computers and AI. Topics include flaws of using internet data, career journey from thermostats to compilers, becoming a master inventor, role of data and AI models, Christian perspectives on AI, and hope for technology and AI literacy.
AI systems built on human data can lead to unpredictable and harmful outcomes due to human imperfections.
Christians need to become AI literate and use knowledge to build platforms that align with Christian values and positively impact society.
Deep dives
AI and Human Data are Dangerous
AI systems that use human data are dangerous because humans are sinful and imperfect. Using models built on this data can lead to unpredictable and potentially harmful outcomes.
The Importance of AI Literacy
The church and Christians need to become AI literate to overcome fears and effectively engage with AI. Building knowledge and understanding AI can enable believers to be a light in the AI era.
The Need for AI Regulation
Legislation is needed to ensure AI platforms are held accountable for their actions. Deception, manipulation, and exploitation through AI should be curbed through regulations that enforce transparency, accountability, and responsible use of data.
The Potential Benefits of AI
AI has the potential to bring positive change in areas like healthcare and business. For example, AI can assist in personalized medical treatments and help companies understand customer satisfaction. Christians and Jesus-loving people should lead the way in building platforms that align with Christian values and positively impact society.
Joanna Ng has worked on many projects which have been turned into tools we use everyday. In the episode she talks about the journey to become a Master Inventor and some of the highlights of her career and then discusses some of the risks that come from putting too much trust in computers and artificial intelligence.
Glossary of Terms:
Groundtruth: The information or data that acts as a reference point against which we can measure the performance of computer programs or algorithms.
Compiler: A special computer program that turns the code that programmers write into something a computer can understand and run. It's like a translator between humans and computers.
Parsing: Parsing in computer science is like grammar-checking a sentence. It looks at the code to make sure all the parts are in the right order and make sense together, so the computer can understand what to do.
Black box: A system or device where you can see what goes in and what comes out, but you don't know exactly how it works on the inside.
Bootstrap: The initial push that gets a computer or program running so it can do more complicated tasks on its own. Just like you need that first push to start pedaling a bike, a computer needs a bootstrap to get going.
Theme song and credits music by Breakmaster Cylinder. Other music in this episode by Titan Sound, courtesy of Shutterstock, Inc.
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