The growing need to optimize for machines

~10 mins. Presented at John Hopkins University Innovation Factory Summit 2017

Transcript

1. Optimizing for machines
   in a Ubiquitous Computing World
   

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2. Hi, I am Noble.
   Publicity chair Ubicomp & International Symposium on Wearable Computers (ISWC)
   Award winning startup founder, LynxFit
   Product Executive @ Dublabs
   

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3. Overview
   ● Optimizing for Ubicomp: Human Interfaces, Security, & Data
   ○ Definitions
   ○ HCI principles: Simplicity, Contextual, Timely
   ● The promise of ubiquitous computing
   ○ Example benefit: how sensors helps first responders
   ○ Example risk: mirai & vulnerable connected devices
   ● Interoperability, Security, & Privacy
   ○ Security/privacy first approach to development
   ● Big Data Integrity, Statistical Modeling & Algorithms
   ○ Shoutout: Weapons of Math Destruction by Cathy O'Neil
   ● Conclusions/Lessons learned
   

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4. Definitions
   Ubiquitous computing (or "ubicomp") is a concept where
   computing is made to appear anytime and everywhere.
   Falls to the background and only available when you need it.
   

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5. Optimize for the human first
   “Start with the problem and work back to the technology”
   ~ Steve Jobs
   

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6. Key principles when optimizing for humans (HCI)
   Simple
   

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7. Key principles when optimizing for humans (HCI)
   Simple Contextual
   

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8. Key principles when optimizing for humans (HCI)
   Simple Contextual Timely
   

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9. First responders & IOT
   Sensors sending context aware, timely
   information in an intuitive way in a mission
   critical situation.
   

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10. Risks, & where
    we are today
    ● Guidance, legal, and the
    role of government
    ● Uber example
    ● Mirai example
    

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11. Key principles when optimizing for machines
    Interoperability
    

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12. Key principles when optimizing for machines
    Interoperability Security & Privacy
    

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13. Key principles when optimizing for machines
    Interoperability Security & Privacy Data integrity
    

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14. Conclusions
    “How do we start to regulate the
    mathematical models that run more
    and more of our lives? I would suggest
    that the process begin with the
    modelers themselves. Like doctors,
    data scientists should pledge a
    Hippocratic Oath, one that focuses on
    the possible misuses and
    misinterpretations of their models.”
    Weapons of Math Destruction
    Cathy O'Neil
    

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15. medium.com/@nobleackerson
    twitter.com/nobleackerson
    

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