pop-your-filter-bubble.pdf

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1 Pop Your Filter Bubble

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5 The worm has turned Up Next: A Better Recommendation System, Renne Diresta, Wired, April ‘18 We are all trapped in the “Feed”, Om Malik, May ’18 The Expensive Education of Mark Zuckerberg and Silicon Valley, Kara Swisher, New York Times, Aug ‘18 www.xyggy.com © 2019

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6 Francois Chollet asks … Is “super intelligence” the real danger or … … the scalable manipulation of human behavior AI enables, … and its malicious use by corporations and governments? What worries me about AI Francois Chollet, creator of Keras, neural networks library Medium, Mar ‘18 www.xyggy.com © 2019

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9 AI has all the control Recommendation engines have spread like a virus because open source makes it easy … All behave the same, with each consumer … … in a single lane without control … not an open road with control www.xyggy.com © 2019

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11 Learning algorithms Invented by academics for experimental research (50’s to 90’s). Not designed for: i. Real-world use (not dynamic) ii. Interactivity (no control) iii. Scalability (in production) www.xyggy.com © 2019

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16 data: add update delete read query: standard more like this/these more or less anomaly detection dynamic automatic generalization interactive Thingy A P I A P I Thingy is a dynamic recommendation engine www.xyggy.com © 2019

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19 Query images Result images Query Dataset: wikiart images - https://www.wikiart.org/. No image pre-processing performed. No textual data used. Feature vectors generated automatically with deep learning. www.xyggy.com © 2019

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24 Add and remove images Query images Result images Dataset: wikiart images - https://www.wikiart.org/. No image pre-processing performed. No textual data used. Feature vectors generated automatically with deep learning. www.xyggy.com © 2019

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29 API v0.3: Request / Response www.xyggy.com © 2019 import json, requests url = ‘http://127.0.0.1:8181’ + ‘/thingy/api/v0.3’ headers = {‘content-type’:’application/json’} data = json.dumps(payload) response = requests.post(url, headers, data) results = response.json()

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30 API: query www.xyggy.com © 2019 # query request_type = query|query_more|query_pos|query_neg # detect query request_type = detect # crud request_type = crud_add|crud_read|crud_update|crud_delete request_type = “query” number_of_results = 10 include_scores = True payload = { 'meta': {'request_type':request_type, 'number_of_results':number_of_results, 'include_scores': include_scores}, 'unknown_items': unknown_items, 'known_items': known_items}

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32 More like this Query images Result images Dataset: 110K Visual Genome images - http://visualgenome.org/ No image pre-processing performed. No textual data used. Feature vectors generated automatically with deep learning. www.xyggy.com © 2019

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37 More like these, less like others Query images Result images Dataset: wikiart images - https://www.wikiart.org/. No image pre-processing performed. No textual data used. Feature vectors generated automatically with deep learning. www.xyggy.com © 2019

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44 Litmus test to add unknown image 1. Query with an unknown image. If image is known to Thingy, duplicate will show as the first result. It doesn’t (next slide). 2. Add a copy of the unknown image to Thingy. 3. Query with the unknown image again. If image is known to Thingy, duplicate will show as the first result. www.xyggy.com © 2019

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45 1. Query with unknown image Dataset: wikiart images - https://www.wikiart.org/. No image pre-processing performed. No textual data used. Feature vectors generated automatically from deep learning model. Unknown image U U not in Thingy www.xyggy.com © 2019

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48 Test to add 3 unknown images 1. Query with 3 unknown images. If images are known, duplicates will show in results. They don’t (see next slide). 2. Add copies of 3 unknown images to Thingy. 3. Query with 3 unknown images again. If images are known, duplicates will show in results. www.xyggy.com © 2019

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55 www.xyggy.com © 2019 “If you use an old tool to tackle a problem you’ve got to be really smarter than the rest of the folks because everybody has this tool. If you are the first to look with something new it’s like starting a new world. You just look around and everything you see is going to be new.” Steven Chu, Nobel Laureate, Physics

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