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Designing Trust, Building with Privacy as a Bas...

Designing Trust, Building with Privacy as a Basic Need

Personal data privacy is a hot-button item today because consumer trust with the services we use online is at an all-time low. For developers, tech founders, and product teams, this adversely affects the success of our products so we need to foster an environment of mutual trust and bridge the trust gap that exists today.

It can often seem overly burdensome for the software developer looking to change the world. Developers and designers may look at regulations and current trends in data privacy as negative impacts on product innovation.

This is the wrong lens by which we should look at this.

In this talk, Noble shares opportunities to innovate around the growth in data, the growth in regulations like the GDPR. He shares insights on human-centered design opportunities that can help both the independent developer or an established corporation. He presents practical examples to minimize the data you collect and best practices on asking for data in software only when it provides value for the user.

Noble Ackerson

August 22, 2019
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Transcript

  1. 01 TRUST IS BROKEN (We’ve Awoken) 02 DEFINITIONS (Rise of

    Data, Data Privacy, and Data Trust) 03 CONTROL 04 CONTEXT 05 CHOICE 07 RESPECT Contents
  2. Today’s Goal Help you understand how the evolving privacy landscape

    affects shipping code Provide examples via design guidelines to support positive sum experiences
  3. Cheap Storage & PII 1990 The first 5.25-inch 5MB hard

    disk drives cost more than $3,000 1996 NAND Flash Solid State Storage, SSD. Today’s cost: $90+ for 512GB to upwards of $4,400+ for 3.84TB 2013 Western Digital HGST Helium-Filled Hard Drive (6TB) cost $350+ 2018 Toshiba 14TB Internal Hard Drive costs $600+
  4. Positive Sum Opportunities Vulnerabilities and breaches cause Governments to view

    data as a human right. Growth In Regulations Massive amounts of our personal data is given up for convenience. Growth In Data Evolving Data Privacy Landscape
  5. RESPECT GOAL Are we proactive about being data minimalists and

    do we do enough to secure and purge data. USE Are there accessible settings or an account section giving the user agency over their data? CONTROL CHOICE LEARN Is our privacy promise clearly articulated? Is there an option to opt out of tracking? Privacy in your Design Process TRANSPARENCY CONSIDERATIONS DESIGN STAGE Key Measure ONBOARDING STAGE DISCOVER Are we clearly communicating how the users data will be used? CONTEXT
  6. The Data Liberation Front was an engineering team at Google

    whose singular goal is to make it easier for users to move their data in and out of Google products. DLF’s efforts rolled into Google current Takeout initiative. “Liberate” the data
  7. ? Right to Access Where would you expect to request

    access or deletion of your data if not Account?
  8. Privacy and utility are complementary. POSITIVE-SUM, NOT ZERO-SUM Inform your

    stakeholders to gain user confidence. MAINTAIN VISIBILITY & TRANSPARENCY Privacy is a human right. PRIVACY AS THE DEFAULT SETTING PRIVACY BY DESIGN PRINCIPLES Privacy, choice and access are core to value proposition, not add ons. EMBED PRIVACY INTO DESIGN All data is secure at rest and in motion. Erased when no longer required. ENSURE END TO END SECURITY Take action before the fact, not after it. PROACTIVE NOT REACTIVE It’s about the user. Not the data alone. RESPECT USER PRIVACY
  9. Data Trust, the sum of data transparency, value delivery, and

    consequence acceptance Key Takeaways Help you understand how the evolving privacy landscape affects shipping code CONTEXT How to address your users’ growing need for control over their data CONTROL Provide examples via design guidelines to support positive sum experiences CHOICE
  10. What future do you want to build for... Agency over

    data or the status quo? Call to arms Credit: https://dribbble.com/napsys
  11. users of our products care about their data entrepreneurial activities

    differ substantially depending on the type of organization and creativity involved. entrepreneurship ranges in scale from solo. entrepreneurial activities differ growth in user data entrepreneurial activities differ substantially depending on the type of organization and creativity involved. entrepreneurship ranges in scale from solo. entrepreneurial activities differ company’s competitive advantage to hold on to data entrepreneurial activities differ substantially depending on the type of organization and creativity involved. entrepreneurship ranges in scale from solo. entrepreneurial activities differ company’s face rising legal data governance risks entrepreneurial activities differ substantially depending on the type of organization and creativity involved. entrepreneurship ranges in scale from solo. entrepreneurial activities differ increase in data privacy standards entrepreneurial activities differ substantially depending on the type of organization and creativity involved. entrepreneurship ranges in scale from solo. entrepreneurial activities differ growth in data privacy regulations entrepreneurial activities differ substantially depending on the type of organization and creativity involved. entrepreneurship ranges in scale from solo. entrepreneurial activities differ Push & pull
  12. This presentation was made possible through extensive research by the

    following entities and individuals Acknowledgements • 2002 European Union ePrivacy Directive • General Data Protection Regulation • IEEE Standards PDP Working Group • Dr. Anne Kevorkian - Privacy by Design • Nathan Kinch - Founding Partner, Greater than X • Clayton Christensen (Jobs to be done) - The Christensen Institute Standards and regulations Influencers and individuals R T G I S E D T U N • Noun project • Dribble (dribble.com/napsys) • TensorFlow Privacy - https://github.com/tensorflow/privacy • Envato Market (Graphic River user Mo_Np) Assets and resources