035 – Future Ethics Author and Designer Cennydd Bowles Shares Strategies for Designing Ethical Data Products That Benefit Our Business, Community and ...

Cennydd Bowles is a London-based digital product designer and futurist, with almost two decades of consulting experience working with some of the largest and most influential brands in the world. Cennydd has earned a reputation as a trusted guide, helping companies navigate complex issues related to design, technology, and ethics. He’s also the author of Future Ethics, a book which outlines key ethical principles and methods for constructing a fairer future. In this episode, Cennydd and I explore the role that ethics plays in design and innovation, and why so many companies today—in Silicon Valley and beyond—are failing to recognize the human element of their technological pursuits. Cennydd offers his unique perspective, along with some practical tips that technologists can use to design with greater mindfulness and consideration for others. In our chat, we covered topics from Cennydd’s book and expertise including: Why there is growing resentment towards the tech industry and the reason all companies and innovators need to pay attention to ethics The importance of framing so that teams look beyond the creation of an “ethical product / solution” and out towards a better society and future The role that diversity plays in ethics and the reason why homogenous teams working in isolation can be dangerous for an organization and society Cennydd’s “front-page test,” “designated dissenter,” and other actionable ethics tips that innovators and data product teams can apply starting today Navigating the gray areas of ethics and how large companies handle them The unfortunate consequences that arise when data product teams are complacent The fallacy that data is neutral—and why there is no such thing as “raw” data Why stakeholders must take part in ethics conversations Resources and Links: Cennydd Bowles Future Ethics (book) Design for Real Life  The Trouble with Bias Twitter: @cennydd Quotes from Today’s Episode “There ought to be a clearer relationship between innovation and its social impacts.” — Cennydd “I wouldn’t be doing this if I didn’t think there was a strong upside to technology, or if I didn’t think it couldn’t advance the species.” — Cennydd “I think as our power has grown, we have failed to use that power responsibly, and so it’s absolutely fair that we be held to account for those mistakes.” — Cennydd “I like to assume most creators and data people are trying to do good work. They’re not trying to do ethically wrong things. They just lack the experience or tools and methods to design with intent.” — Brian “Ethics is about discussion and it’s about decisions; it’s not about abstract theory.” — Cennydd “I have seen many times diversity act as an ethical early warning system [where] people who firmly believe the solution they’re about to put out into the world is, if not flawless, pretty damn close.” — Cennydd “The ethical questions around the misapplication or the abuse of data are strong and prominent, and actually have achieved maybe even more recognition than other forms of harm that I talk about.” — Cennydd “There aren’t a whole lot of ethical issues that are black and white.” — Cennydd “When you never talk to a customer or user, it’s really easy to make choices that can screw them at the benefit of increasing some KPI or business metric.” — Brian “I think there’s really talented people in the data space who actually understand bias really well, but when they think about bias, they think they’re thinking more about, ‘how is it going to skew the insight from the data?’ Not the human impact.” — Brian “I think every business has almost a moral duty to take their consequences seriously.” — Cennydd    

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Are you an enterprise data or product leader seeking to increase the user adoption and business value of your ML/AI and analytical data products? While it is easier than ever to create ML and analytics from a technology perspective, do you find that getting users to use, buyers to buy, and stakeholders to make informed decisions with data remains challenging? If you lead an enterprise data team, have you heard that a ”data product” approach can help—but you’re not sure what that means, or whether software product management and UX design principles can really change consumption of ML and analytics? My name is Brian T. O’Neill, and on Experiencing Data—one of the top 2% of podcasts in the world—I offer you a consulting product designer’s perspective on why simply creating ML models and analytics dashboards aren’t sufficient to routinely produce outcomes for your users, customers, and stakeholders. My goal is to help you design more useful, usable, and delightful data products by better understanding your users, customers, and business sponsor’s needs. After all, you can’t produce business value with data if the humans in the loop can’t or won’t use your solutions. Every 2 weeks, I release solo episodes and interviews with chief data officers, data product management leaders, and top UX design and research professionals working at the intersection of ML/AI, analytics, design and product—and now, I’m inviting you to join the #ExperiencingData listenership. Transcripts, 1-page summaries and quotes available at: https://designingforanalytics.com/ed ABOUT THE HOST Brian T. O’Neill is the Founder and Principal of Designing for Analytics, an independent consultancy helping technology leaders turn their data into valuable data products. He is also the founder of The Data Product Leadership Community. For over 25 years, he has worked with companies including DellEMC, Tripadvisor, Fidelity, NetApp, Roche, Abbvie, and several SAAS startups. He has spoken internationally, giving talks at O’Reilly Strata, Enterprise Data World, the International Institute for Analytics Symposium, Predictive Analytics World, and Boston College. Brian also hosts the highly-rated podcast Experiencing Data, advises students in MIT’s Sandbox Innovation Fund and has been published by O’Reilly Media. He is also a professional percussionist who has backed up artists like The Who and Donna Summer, and he’s graced the stages of Carnegie Hall and The Kennedy Center. Subscribe to Brian’s Insights mailing list at https://designingforanalytics.com/list.