AI and Machine Learning Personal Assistants
summary
Defines AI via Tom Mitchell's machine‑learning test and names TensorFlow as an open source driver, cites the California meeting that produced 23 AI principles (highlighting #16 human control and #20 planning for transformative AI), contrasts Asimov’s original three (and zeroth) laws to show order changes outcomes, and describes a built demo called the Serve Wi‑Fi project that lets devices communicate without GSM (deployed at FOSSASIA two years earlier and intended for live testing via QR code).
AI-written summary · about
chapters (19)
- 0:00Introduction
- 0:44Story Time
- 1:30AI
- 2:10Machine Learning
- 2:34What is Machine Learning
- 3:36Isaac Asimov
- 3:49Asimovs Law
- 4:42Personal Assistant
- 4:54What is a Robot
- 5:15History of Robots
- 6:08Three Laws of Robotics
- 9:30Definition of AI
- 10:22Research Issues
- 11:09Ethics and Values
- 11:41Future of Life
- 12:33AI Dash Principles
- 12:54AI and Machine Learning
- 13:12Questions
- 14:35Serve Our Project
related talks
44mUnderstanding the role of Artificial Intelligence in the present and in the future
04mInterview
01h 00mAI: Law, Policy, and Common Sense Suggestions to Stay Out of Trouble
31mA more human-centered approach to AI
29mAI and Safety
24mA Call for Human-Centered AI
33mAI at Work with James Poulter
56mFrom Science Fiction to Science Fact