Photo by on Tom Sodoge Unsplash Welcome to the new world order, your information is out there, so why not have it benefit you? I originally wrote this previous to Zuckerberg appearing before Congress, it would seem post his “testimony” that there will be no regulation of Facebook coming. It’s clear that the old man brigade that is the US government, doesn’t even grasp how or what Facebook is, nor do they have the savviness to moderate it’s spread and influence. As the cacophonous chatter continues around Facebook’s now nearly four-year-old lax personal data protection mechanisms¹, I’d like to take a moment and give you, dear reader, a better response to the ongoing privacy debate. You ready? Repeat after me. Dear Facebook², ? how do I give you even more of my data There are caveats of course. In return for being given even more access to my personal information, I ask for two things; protect that data, make it clear when and how you share it and, even more important, . make my life better This goes for all the major tech platforms and service providers; you can have all the information you want about where I go, what I watch, with whom I interact, the emails I write, the bands I listen to, the products I purchase, if ( big if ), in return, you the information, services, and products I get back. get moving on truly personalizing What I’d like, in essence, is an . individualized operating system An OS for one, focused on alleviating the burden from my days, highlighting that which makes me happiest and bringing to life the future we’ve been promised for so long. Use data to make it easier for me to find and consume what I want, how and when I want it. Your job ( tech platforms and soon governments ) is to deliver to me ( well, all of us ), the ; systems that anticipate our needs, connect the dots in our lives and remove all that pesky friction from our days. technological utopia we deserve From a Google patent filing: Like the image above, not every usage has to be grossly invasive. How a Better Future Could Look What else could the Facebooks and Googles of the world do with broader access to our information ( and advances in Machine Learning⁴ )? A short list, with me as an example; I like white Chuck Taylors ( Converse ) sneakers, I buy a pair ( or two ) every year. An intelligent platform, filled with the data from my email ( receipts ) and web searches ( converse shoes on sale ) should be able to tell me when it’s time to replace my current pair ( tread wear based on purchase date, or on previous purchase history) and then advise me when I’m in the vicinity of a retailer who has the ones I like, in my size, on sale, around the corner ( or alternatively available online and automatically ordered for delivery ). I turned 42 this year ( presents still accepted ) and like most of us, could use better guidance on my health. If my medical records were in an open system, combined with my food shopping habits and lifestyle ( gym time + restaurant visits and frequency of kale purchases ), they could be matched with an extensive data set of other 42-year-olds with similar information, and used to provide predictive medical advice and better diagnoses.³ I loathe email, everyone wants it gone, it refuses to die, it’s not going anywhere. Inside of the mess that is email, not all messages are created equal; there should be no reason why a system that knows me better, couldn’t sort emails into actionable and informational groupings, handle the easy responses ( knowing when I’m free, or what the status of a project is ), highlight to me the items that require attention and ensure that I never again see a spam message in my inbox. A good portion of the internet already believes that is listening to our conversations, let them I say. If I am demonstrating a clear interest in something, say a musician or new movie, why wouldn’t I want that musical content to surface the next time I open Music or Spotify, or to receive a notification when tickets become available to a show or movie opening, the cost again instantly debited from my account ( post voice verification of course ). Facebook Google I’ve been wishing for years that we’d move past the age of our logging data, and into the era of machines measuring what we tell them and giving us actionable intelligence. It’s all well and good that my smartwatch counts how many steps I’ve taken, or that MyFitnessPal lets me input the foods that I eat. But these passive inputs aren’t really doing much more than filling pretty charts. An app that scans my face and body for changes, applies sentiment analysis to the language in my social media posts, watches what I’m eating and how often I am active, then suggests to me activities to improve my physical health and mental well-being, now that would be something. There are dozens other examples that are easily imagined, suffice to say that the machines around us and the systems that power those machines, are getting sophisticated enough to support this kind of vision, so wouldn’t you like the devices around us to do more? Isn’t time that we’re aided to a greater degree by the massive amount of technology and computing power at our disposal? We’re on our way, check out Google’s latest campaign: “Make Google Do It” — https://www.youtube.com/watch?v=eegp9AaqbxE Accepting This Personal Data Future There are two universal truths when it comes to our personal data; To the technology platforms, our data is only good on aggregate; individually it’s nearly worthless To consumers, understanding our individual preferences, motivations and passions is the holy grail in terms of how to identify ways to make our lives better An interesting split, and the core of why flying off the handle about how much data Facebook, Google, et al., have about us, . isn’t helping things Facebook and Google are data aggregators masked as advertising platforms; they cannot convince brands to give them money unless they can deliver a large volume of customers. To deliver at scale means that brands have no clue they’re advertising to me, Kerry Morrison, they simply choose a bucket that I fit in to ( along with many others ) and through ads on the platform(s), try to interest me in buying something. Have those buckets gotten well targeted, yes they have, but they’re still just groups of nameless consumers. Ex. In Facebook’s ad platform I can create a list of all the men, aged 40–60, who live in Seattle, who own dogs, speak English and have discussed mortgages. Using this exact breakdown Facebook will allow me to advertise to roughly 84,000 people, none of whom I will ever know the personal details on, but that my message will reach. By the way, this level of insight is nothing new and why any digital marketer you talk to about Facebook and Cambridge Analytica responds back with some version of…well duh. This level of targeting has been around for years, it’s been very effective in getting us to buy things, but it’s a myopic view that only gets us part of the way to where we need to go for true personalization. These traditional approaches focus on what customers buy, view or consume, which results in a product-centric view only, limiting customer understanding. The evolution that we’re in the early days of, is a mix of product ( because we still at the end of the day want and need our “things” ), wrapped in a layer on consumer convenience. It’ll be interesting to see which new companies spin up to handle these new convenience services ( though competing against Google will be hard ). Unlike the current players, these new groups will make human services the basis of their data collection efforts, moving away from search or content delivery. Apple of course is the outlier here in that they make their money primarily from hardware, and do the best job of protecting the privacy of their users. Could Apple be the ones to take digital convenience(s) to the next level? How Much Is This Future Vision Worth To You This folks is where we need to decide whether or not we’re getting a real transfer of value. Are we comfortable putting our information into the hands of big technology companies, if the trade-off is being sold to and having our lives made simpler. To ensure this brighter future, the technology platforms have to work harder at , and into the process. earning our trust protecting our information inserting transparency If machine learning and algorithms are going to help manage our lives, then those systems need to be to prevent the wrong kind of biases from creeping in. audited regularly They need to be secured with the highest levels of encryption, further anonymized ( at times ) and for the people who would prefer to not participate, put in place. opt-out controls If Privacy Is Still Your Biggest Fear If none of the above has convinced you, and you’re still hung up on privacy, I want you to understand three things: Yes, the big tech companies can do better at protecting the data they have on us, but the systems they have built are predicated on having our personal data and are . Just you watch, Facebook will make some apologies, they may even appear before Congress, but they will not fundamentally change anything they do day to day. Again, let’s be clear, they long ago closed the access that allowed Cambridge Analytica to steal user data, a good sign, but they can do more. It’s too late, cats out of the bag far too valuable to change in any meaningful way Aside from the future ideas highlighted above, it’s clear that we benefit from how this data is being used today; products we want are brought to our attention, news we’re interested in is surfaced, tv and movies we’d be interested in are highlighted, friends are recommended — these are all uses of personal data and they’re leading to positive experiences for many of us. We’re better for it What’s happened with Facebook ( and the far more egregious data security mishaps of the past couple of years — looking at you Equifax, are bringing the privacy and personal data discussions to the forefront, people are educating themselves, knowledge is power and the more we know about what and how people are using our data for, the better questions we’ll be able to ask to those wanting our data in the first place. Better protection is coming The question comes down to whether you want to embrace the future or fight for the past. I understand if you are wary, but being an alarmist isn’t helping anyone. Machines are really good at processing data, so why don’t we let them do that? Conclusion How well versed are you in what is actually happening with your personal data? Can you imagine a scenario where you benefit from big tech having so much access to your information? Will you put more thought into what you put online? Think for a moment about the value, the connections, the experiences you’ve been able to have because of your usage of Facebook, Google, Twitter, etc. Might it have been worth it to be the product? If this new future isn’t for you, I absolutely understand. I’d ask again that you really think of the value these platforms bring, but I will be the first one to support your move away from them and to paid products with stringent privacy controls. You be you. Further Reading If you’d like to read more about Facebook and Cambridge Analytica: _Long before Facebook, your personal information was bought and sold, just less effectively_hackernoon.com You’ve always been the product This is from 2015, but seems even more relevant today. _For most of human history, people lived with little or no expectation of a private life. So the new normal, where…_www.theguardian.com Privacy is starting to seem like a very 20th-century anomaly | David Shariatmadari If you’d like to weigh in what I’ve written, shoot the shit or if I can help out in any way with writing words or helping refine your product or technology strategy, drop me a line: kerry@betterstory.co or find me on . Twitter ¹Facebook closed access to a users’ friends data, which is how Cambridge Analytica stole so much user data, in 2014. ²Or Google, Apple, Twitter, Microsoft, Amazon, etc. ³ https://www.theverge.com/2018/2/19/17027902/google-verily-ai-algorithm-eye-scan-heart-disease-cardiovascular-ris ⁴As I’ve written about previously, it’s all machine learning and not AI. https://medium.com/@kmore/ai-does-not-fucking-exist-4a9c2b0dfb36
