Sarah Bernhardt plays Hamlet, London 1899
“What’s Hecuba to him, or he to Hecuba,
That he should weep for her?”
The close of Act II Scene ii, and Hamlet questions how the performers in a play about the siege of Troy are able to convey such emotion – feel such empathy – for the stranger queen of an ancient city.
The construct here is complex. A play within a play, sparking a key moment of introspection, and ultimately self doubt. It is no coincidence that in this same work we find perhaps the earliest use of the term “my mind’s eye,” heralding a shift in theatrical focus from traditions of enacted disputes, lovers passions, and farce, to more a more nuanced kind of drama that issues from psychological turmoil.
Hamlet is generally considered to be a work of creative genius. For many laboring in the creative arts, works like this and those in its broader category serve as aspirational benchmarks. Indelible reminders of the brilliant outlands of human creativity.
Now, for the first time in our history, humans have a rival in deliberate acts of aesthetic creation. In the midst of the avalanche of artificial intelligence hype comes a new promise – creative AI; here to relieve us of burdensome tasks including musical, literary, and artistic composition.
YouTheData.com is delighted to feature a two-part guest post by Andrew Sears. Andrew is passionate about emerging technologies and the future we’re building with them. He’s driven innovation at companies like IBM, IDEO, and Genesis Mining with a focus on AI, cloud, and blockchain products. He serves as an Advisor at All Tech is Human and will complete his MBA at Duke University in 2020. You can keep up with his work at andrew-sears.com.
In Part 1 of this series, we explored the paradox of human-centered design as it is commonly practiced today: well-intentioned product teams start with the goal of empathizing deeply with humanneeds and desires, only to end up with a product that is just plain bad for humans.
In many cases, this outcome represents a failure to appreciate the complex web of values, commitments, and needs that define human experience. By understanding their users in reductively economic terms, teams build products that deliver convenience and efficiency at the cost of privacy, intimacy, and emotional wellbeing. But times are changing. The growing popularity of companies like Light, Purism, Brave, and Duck Duck Go signifies a shift in consumer preferences towards tech products that respect their users’ time, attention, privacy, and values.
Product teams now face both a social and an economic imperative to think more critically about the products they put into the world. To change their outcomes, they should start by changing their processes. Fortunately, existing design methodologies can be adapted and augmented to build products that appreciate more fully the human complexity of their users. Here are three changes that product teams should make to put the “human” in human centered design:
This article by Fiona J McEvoy (YouTheData.com) was originally posted on All Turtles.
When the Chinese news agency Xinhua demonstrated an AI anchorperson, the reaction of the internet was predictably voluble. Was this a gimmick or a sign of things to come? Could the Chinese government literally be turning to artificial puppets to control the editorial content of the country’s news channels? Are we careening towards a future where the humans and humanoid bots are indistinguishable?