It is through generations of shared stories that systems of power and privilege are normalised and made to seem inevitable.
In 500 years of mass media, we have never had fair and equitable representation of the world’s stories or included an equitable ratio of the world’s people in the creation of those stories and images.
This exclusion of diverse story coders in the design of past “operating systems” has made us vulnerable to catastrophic “viruses” that corrupted our systems, because we silenced those that had knowledge of the firewalls that could have protected us.
There is a direct correlation between imagination, innovation and realisation. This is true not just for new technologies, but for new social systems and identity frameworks too.
For example, just before the turn of the 20th century we were still committing genocide on indigenous story coders in the US, rather than incorporating their values and perspectives into the design of that period’s industrial revolution or “operating system”.
That may well have been the reason we failed to code environmental firewalls that might have protected us against climate change.
Over the last few decades we’ve experienced a rapid expansion of our communication architecture that mediamakers have leveraged to give audiences new experiences of story. They are now able to transport audiences into parallel human-scale environments, where they can traverse space and “be” in another part of the world instantly and break them out of a pedestrian reality to have non-human-scale experiences. These new technologies allow audiences to embody another person’s perspective; to connect story to place and have live interactions through their devices; to perceive humanity from a macro-scale through smart algorithms sculpting beauty from our data. They can even preserve a persona for future generations through AI-enabled holograms and use audience members’ own biometrics as input for interactive experiences.
These emerging media are projected to be worth trillions of dollars in the coming decade. They form part the Fourth Industrial Revolution, which is ushering in sweeping changes with enormous promise for advancing civilization. However, we know from history that industrial revolutions can bring great injustice as well as great value.
Why should economists and business leaders care? Because repeating patterns of exclusion and injustice in this industrial revolution will worsen the climate change bill we are already struggling to pay from past innovation cycles, and will fail to optimise fully our new capabilities for global prosperity.
“We run the risk of having about 15% of the world’s population designing the world, through media consumption and media creation, for the other 85% of the population. I don’t think that’s good business first of all, but I also think that’s troubling from a societal perspective.” - Julie Ann Crommet of The Walt Disney Studios.
The technologies coming with the current paradigm shift are arguably more powerful than those developed in past industrial revolutions, yet are we repeating the same mistakes of having a narrow group of people decide their value for humanity, as well as lining up only a small number of people to benefit economically from their implementation?
What viruses will emerge as a result? What are the consequences of repeating this pattern of exclusion?
It is imperative that we include people in this emerging media landscape from a broad set of communities, identity groups, value systems, and fields of knowledge, in all roles and levels of power.
This will mitigate the pitfalls of disruption. Right now, we could have a window of opportunity that allows us to create an inclusive process for designing our future. Frankly, this time the stakes are too high to have a small fraction of our global community define the values and features of our next operating system.
“Right now, we have an inability to imagine our future. And that is really, at the end of the day, what’s killing us. [Democratised imagination process] helps us get past the fear of the unknown. The sci-fi we had to look forward to 30 years ago was exciting. Videos of the future were exciting. And the idea of the future was attainable. It was something we could see. Now, there’s an inability to imagine one’s present and what you want the future to be.
Agency, for some reason, has disappeared. I think that also starts to explain a lot of what we’re seeing happen politically, especially with anger. I mean anger on all sides, not just on one. I think that comes from a lack of empathy, but it also comes from the inability to imagine one’s future or our collective future,” says - Julie Ann Crommett.
Late last year, I interviewed Skawennati, a Mohawk woman from Canada who is also a machinima artist, who facilitates game design workshops with indigenous youth. She spoke of her experience of a long-standing struggle to reconcile the values of her indigenous and technologist cultures.
The former centres on family time, community, nature, and a sometimes non-analytical process to generate inspiration and creativity; whereas the latter centres on fast-fail, rapid iteration, bottom-line ROI, and a often highly analytical process for sparking new ideas. During the course of our conversation about new gains in artificial intelligence, we imagined the possibility of a future that achieved a true integration of these value systems.
What if, instead of just replacing jobs and leaving many people in an outmoded class, AI allowed us time to focus more on our families, on our communities, on philosophy and creativity? Diverse story coders might generate shared imaginations of our future, where AI is used for inclusion, rather than exclusion.
Let’s assess this democratised imagination framework with the hindsight of past industrial revolutions.
What if this process had been in place when manufacturing jobs went overseas, or became automated, during the 20th century in the US?
What if those people “left behind” were prompted to imagine a future they wanted to live in and to imagine their role in it?
Could such an imaginative process have mitigated 50 years of economic downturn? Could it have helped us better mitigate the unethical disruptions we experienced?
Perhaps this transition approach might have allowed a greater diversity of ideas to bubble up and uncover the full potential of new human capabilities in the computer age. At the same time, it might have mitigated the deep resentments created by the top-down or prescriptive-transition approaches of the time.
Alas, we may not have been able to achieve this in the past, not only because of the ideological challenges, but also the limited technologies.
Now, however, for the first time in history, humanity is equipped with the tools and social-media culture to collectively imagine our future on a global scale.
What if, instead of the majority of the world being marginalised from the process that is defining our future, we used the new interactive tools, data science, smart algorithms and immersive platforms to include a broad scope of people?
What if, this fuller representation of humanity collaborated on defining the value and purpose of our new and extraordinary technological capabilities, through the stories they make about the world we will be living in?
What kind of human-centred uses would we imagine for artificial intelligence, synthetic biology, supercomputing, and immersive media? What bugs in our operating system might be circumvented? This is the opportunity offered to us by emerging media.
For example, new capabilities in machine learning can exacerbate inequality; or they can end inequalities, such as hunger and homelessness.
We have decades of storyworld-building practice that can articulate our shared imagination with great fidelity, while allowing individuals to contribute and navigate their own pathways into the future.
With the right strategic actions, we just might be able to do something that has yet to be achieved in our 500-year history of mass media - the making of a new reality, where justice and equality are truly central values.
Kamal Sinclair is director, New Frontier Lab Programs, Sundance Institute