Each technique has its strengths and weaknesses, but when combined, researchers can build complex AI systems. However, these models become more self-directed, making it hard for computer scientists to determine how these algorithms arrive at their solutions. As machines continue to develop, we must consider how to teach them to teach each other to operate ethically.

Transparency is needed with self-directed Ai

AI works with a simple set of instructions that creates many rules and strategies. AI is used, for example, to help doctors diagnose patients, pilots fly commercial aircraft, and help predict traffic.

Artificial intelligence  (AI) is often self-taught

<ul><li>Unsupervised learning. This approach is ideal for analysing untagged data to find general similarities and patterns. </li><li>Supervised learning. A computer algorithm is trained on input data to create the desired output.</li><li>Reinforcement learning. The program uses an Iterative approach to gather feedback, then compares the data and suggests an optimal outcome. </li></ul>

Different ways a machine learns

Explore the three major methods of machine learning, which allows computers to write their own rules to problem solve and process data. -- Today, artificial intelligence helps doctors diagnose patients, pilots fly commercial aircraft, and city planners predict traffic. These AIs are often self-taught, working off a simple set of instructions to create a unique array of rules and strategies. So how exactly does a machine learn? Briana Brownell digs into the three basic ways machines investigate, negotiate, and communicate. Lesson by Briana Brownell, directed by Champ Panupong Techawongthawon. Support Our Non-Profit Mission ---------------------------------------------- Support us on Patreon: http://bit.ly/TEDEdPatreon Check out our merch: http://bit.ly/TEDEDShop ---------------------------------------------- Connect With Us ---------------------------------------------- Sign up for our newsletter: http://bit.ly/TEDEdNewsletter Follow us on Facebook: http://bit.ly/TEDEdFacebook Find us on Twitter: http://bit.ly/TEDEdTwitter Peep us on Instagram: http://bit.ly/TEDEdInstagram ---------------------------------------------- Keep Learning ---------------------------------------------- View full lesson: https://ed.ted.com/lessons/how-does-artificial-intelligence-learn-briana-brownell Dig deeper with additional resources: https://ed.ted.com/lessons/how-does-artificial-intelligence-learn-briana-brownell#digdeeper Animator's website: https://pleasecallmechamp.com/ Music: https://ambroseyu.com/ ---------------------------------------------- Thank you so much to our patrons for your support! Without you this video would not be possible! Nevin Spoljaric, Christine, Yvonne Feijoo, Sid Chanpuriya, Arjay Arcinue Dineros, RAD, Anoom Yasmin, Laura Johnson, Anoop Varghese, David Yastremski, Noah Webb, Zoë Tulip, B, Erica Guerrero, Richard Manklow, Roberto Chena, Luke Pisano, Andrea Gordon, Aleksandar Donev, Brendan and Nicole's summer job, Ryan Weiler, Jesse Lira, Ezekiel Raui, Itay Levi, Cameron Chakraverty, Petr Vacek, Rhys Patterson, Dennis, Margaret King, Olivia Fu, Katrina Adams, Regina Post, Mary Collins, Kari Teffeau, clumsybunnie, Adam Leos, Jeremy Laurin, Cindy Lai, Liz, Hannah Nommé, Rajath Durgada Manjunath, Dan Nguyen, Chin Beng Tan, Alejandro Gomez, Tom Boman, Karen Warner, Isorn Sookwanish, Iryna Panasiuk, Diane Gallin and Aaron Torres.

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Artificial Intelligence

Explore the three major methods of machine learning, which allows computers to write their own rules to problem solve and process data.

--

Today, artificial intelligence helps doctors diagnose patients, pilots fly commercial aircraft, and city planners predict traffic. These AIs are often self-taught, working off a simple set of instructions to create a unique array of rules and strategies. So how exactly does a machine learn? Briana Brownell digs into the three basic ways machines investigate, negotiate, and communicate.

Lesson by Briana Brownell, directed by Champ Panupong Techawongthawon.

Support Our Non-Profit Mission
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Support us on Patreon: http://bit.ly/TEDEdPatreon
Check out our merch: http://bit.ly/TEDEDShop
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Connect With Us
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Sign up for our newsletter: http://bit.ly/TEDEdNewsletter
Follow us on Facebook: http://bit.ly/TEDEdFacebook
Find us on Twitter: http://bit.ly/TEDEdTwitter
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Keep Learning
----------------------------------------------
View full lesson: https://ed.ted.com/lessons/how-does-artificial-intelligence-learn-briana-brownell
Dig deeper with additional resources: https://ed.ted.com/lessons/how-does-artificial-intelligence-learn-briana-brownell#digdeeper

Animator's website: https://pleasecallmechamp.com/
Music: https://ambroseyu.com/
----------------------------------------------

Thank you so much to our patrons for your support! Without you this video would not be possible! Nevin Spoljaric, Christine, Yvonne Feijoo, Sid Chanpuriya, Arjay Arcinue Dineros, RAD, Anoom Yasmin, Laura Johnson, Anoop Varghese, David Yastremski, Noah Webb, Zoë Tulip, B, Erica Guerrero, Richard Manklow, Roberto Chena, Luke Pisano, Andrea Gordon, Aleksandar Donev, Brendan and Nicole's summer job, Ryan Weiler, Jesse Lira, Ezekiel Raui, Itay Levi, Cameron Chakraverty, Petr Vacek, Rhys Patterson, Dennis, Margaret King, Olivia Fu, Katrina Adams, Regina Post, Mary Collins, Kari Teffeau, clumsybunnie, Adam Leos, Jeremy Laurin, Cindy Lai, Liz, Hannah Nommé, Rajath Durgada Manjunath, Dan Nguyen, Chin Beng Tan, Alejandro Gomez, Tom Boman, Karen Warner, Isorn Sookwanish, Iryna Panasiuk, Diane Gallin and Aaron Torres.

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Different ways a machine learns

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