If you want to teach the machine to draw a sheep using AI/ML, you won’t tell it to draw the head, then the body with fleece, the face, and eyes. “… if every person drew a perfect sheep they would all be the same and it would be a horrible project … it’s the little variations that give the character and make it interesting.” - Aaron Koblin, The Sheep Market project.Īll such variants and diversity humans express when sketching a sheep would be extremely difficult to capture in a program written in Python, Java, or C++.ĪI/ML to the rescue. We humans are imperfectly ingenious sketching sheep, remember The Sheep Market project? or have a look to some of the tens of thousands sheep doodles made by real people in The Quick, Draw! experiment.
#ELECTRIC SHEEP AMAZON HOW TO#
X00 of the book showing 100 sheep drawings that are as good (or as bad and sketchy) as the ones produced by humans :) How to teach a machine to draw (electric) sheep? Workers that, paradoxically, have helped machines to learn from the datasets created by completing micro tasks.įor example, in creating this book the machine, an AI/ML model, is trained using a dataset of sheep sketches crowdsourced from real people and then is able to generate original sheep drawings on its own.
This book is an experiment that illustrates how certain crowdsourced tasks, e.g., drawing a sheep using MTurk’s artificial artificial intelligence HITs, can now be completed by machines achieving close to human level performance, which potentially could start taking away those micro-payments from human workers. AI/ML is expected to impact many industries, helping us in our tedious tasks or taking our jobs, or something in between.
Each worker was paid $0.02 (USD) to complete the HIT (human intelligence task): “draw a sheep facing left.”īack to 2018, AI/ML is currently showing impressive performance in fields such as computer vision and natural language processing. The Sheep Market is a collection of 10,000 sheep created by workers on Amazon’s Mechanical Turk. It was in this context where Aaron Koblin’s project, The Sheep Market, was born. More than 12 years ago, Amazon coined the term artificial artificial intelligencefor processes outsourcing tasks to humans, especially those tasks computers are (or were?) lousy at, e.g., identifying objects in a photograph, writing short product reviews, transcribing podcasts, watching a short film and then describing the emotions it elicits.Ĭrowdsourcing emerged as a new form of labor on demand and Amazon Mechanical Turk (MTurk) provided the mechanisms to harness the power of a global workforce to complete tasks at scale. From Artificial Artificial Intelligence to Artificial Intelligence
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