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Designing A.I.Week 1: IntroductionJanuary 25, 2017
David [email protected]
https://courses.newschool.edu/courses/PSDS5330
What changed?- Massive amounts of data- Cheap parallel processing- Machine learning / neural network techniques
A.I. is the collective term for technologies that include:Pattern recognitionNatural language processingImage recognitionHypothesis generation
Google’s frames this as:- Machine intelligence (thinking)- Natural language processing (listening)- Machine perception (seeing)
Statistics and Data AnalysisPattern RecognitionNeural Networks and Deep LearningLearning Clusters & Recommendation SystemsReinforcement Learning
Deep Learning
Involving multiple layers of learning systems which are tasked with discovering increasingly abstract or “high-level” patterns. (This approach is often referred to as hierarchical feature learning.)
Bank of America Merrill Lynch predicted that by 2025 the “annual creative disruption impact” from AI could amount to $14 trillion-33 trillion, including a $9 trillion reduction in employment costs thanks to AI-enabled automation of knowledge work; cost reductions of $8 trillion in manufacturing and health care; and $2 trillion in efficiency gains from the deployment of self-driving cars and drones.
The McKinsey Global Institute, a think-tank, says AI is contributing to a transformation of society “happening ten times faster and at 300 times the scale, or roughly 3,000 times the impact” of the Industrial Revolution.
A 2013 study at Oxford University found that 47% of jobs in America were at high risk of being “substituted by computer capital” soon
“We can bemoan or welcome the digital revolution, the coming of self-driving cars, social change or the mass movement of peoples, but we can’t stop any of it. What we can do is try to make these changes work for the betterment of our lives and our planet.”
“I am personally not worried about an AI apocalypse, as I consider that a completely made-up fear. I am concerned about the lack of diversity in the AI research community and in computer science more generally.”
Jeff Dean, Google Brain Project Lead
“What’s important is to find the people who want to use AI for good—communities and leaders—and figure out how to help them use it.”
“This year, Artificial Intelligence will become more than just a computer science problem. Everybody needs to understand how A.I. behaves.”
“I think we can do a lot better in making AI easier to understand for social scientists and other non-computer science folks.”
Joi Ito, MIT Media Lab
“For AI to be successful, its not just engineers and computers scientists talking to each other, it involves policy design, art, psychology, philosophy. There is something amazing about imaging that confluence of conversations.”
Genevieve Bell, IntelSpeaking at #AINow
“Technical mastery should not be a requirement for participating in building our collective future.”
We need to find new languages, metaphors, and intuitions.
We need new ways for non-technical stakeholders to engage.
TechnologySurvey the current landscape of A.I. technologies and the surrounding questions of social bias.
SolutionsExplore how A.I. could be applied in service to the aspirations of an underserved, alternative, or creative community.
BridgingDevelop new strategies, methods and languages to facilitate the intuition and understanding of A.I. by non-technical stakeholders.
Our approach:
“This year’s competition will focus on three underserved groups in New York City: Youth (13-18), Seniors (65+), and Immigrants.”
www.bigapps.nyc & www.civichalllabs.org
Solutions: Communities
Bridging
Start with human-centered design.But is it out of date? The human may no longer be the center.
Technology SolutionsBridging
Learning
Language Needs & opportunities
Bridging & Methods Concept
Prototype & test
Technology SolutionsBridging
Learning
Language Needs & opportunities
Bridging & Methods Concept
Prototype & test
After mid-term, we examine and reflect. Second phase projects can focus on solution refinement, methodological tools for bridging, or technical roadmaps.
Embrace our collective diversity, perspectives, methods, and languages.
To learn from and inspire one another……..
Tools & Resources- Slack- Graph Commons- Google Drive- Medium https://medium.com/designing-ai-spring2017
www.designing.ai
#designingai