Co-creating a Climate Resilient World in 2030 and Beyond
What might a day in the life of a person feel like in a climate-changed world? If you were to wake up in a climate-resilient futures Ala Rip Van Winkle, say in the year 2050, and were given the privilege to ask at least ten questions, what questions would you ask? What might a climate-changed future be or how might a climate-resilient world look like from a Futures standpoint? How can emerging technologies like artificial intelligence, robotics, biotechnology, big data, and blockchain strengthen people, and communities’ resilience to cope with the adverse impacts of climate change? If technological growth is exponential, are humans and systems capacities to adapt exponential enough to meet new challenges of a fast-changing climate? In what ways can emerging technologies drive innovations in climate change adaptation? How might Futures literacy or the future impact people and institutions’ perspectives on climate change? What new visions, new questions, and leadership thought streams could emerge when visionaries and thought leaders apply anticipatory tools to innovate and imagine alternative future worlds?
These among many other frontier issues were explored, imagined, debated, and deliberated by 100 global visionaries and thought leaders in five days of collective intelligence and brain-swarming sessions at Resilience Frontiers of the Korea Global Adaptation Week from April 8-12, 2019, held at the Songdo, Convensia, Incheon, South Korea.
The sessions employed UNESCO’s Futures Literacy Laboratory Framework and Future/io’s Moonshot Approach to deconstruct and reconstruct climate change futures.
Resilience Frontiers is an inter-agency effort undertaken by the United Nations Framework for Climate Change Secretariat in collaboration with Canada’s International Development Research Centre, EIT Climate-KIC, the Food and Agriculture Organization of the United Nations, the Global Water Partnership, the Green Climate Fund, the United Nations Educational, Scientific and Cultural Organization, the United Nations Environment Program, and the United Nations Office for Outer Space Affairs.
According to the UNFCC, climate change adaptation means solutions or actions that respond to current and future climate change impacts. Adaptation is systemic and structural (social, technological, economic, political, cultural, ethical) changes in responding to mitigate the impacts of and create opportunities from climate change.
Waking up in a Brave New World: Rip Meets Sophia 12.0
Imagine you were Rip Van Winkle who was deep asleep for the last twenty years; wakened up by Sophia, 12.0, an advanced AI, in a brave new world. Wandering, perplexed and confused, you’ve begun asking people what, how, and why the new world.
Using a technological frame and imagining themselves as Rip Van Winkle struggling to make sense of the new world, participants were asked to ideate and list 10 personal questions about the future in which they woke up.
The participants were clustered around four emerging technology themes: artificial intelligence, biotechnology, satellite technology, and sustainability ethos. The groups were asked to ideate, write or list their questions about the world in which they woke up. Anchored on the probable impacts of the fourth industrial revolution, participants reflected on the convergence points of these technologies to explore probable futures.
I was tasked to facilitate one of the four Artificial Intelligence (AI) groups. The questions below were the most compelling that participants came up with. These were shared with the group and later with the plenary. The questions were also shared via social media:
- Are there still programmers?
- Is AI open source and creative?
- Can we trust data? Can we trust AI?
- Are AIs used under human supervision or are they completely autonomous?
- Was AI the best solution to climate change problems?
- Can AI help mitigate the causes and impacts of climate change?
- Was AI able to help reduce global temperatures to 1.5 degrees?
- Do we have augmented human intelligence – body/machine interfaces?
- Do most people work to make a living?
- Do we have the resources we need to build and deploy AI tools and solutions?
- Are Big Techs owning AI?
- Are algorithms certified?
- Is AI empathetic?
- Do you trust AI?
- Has quantum computing broken through?
- Do AI technological solutions currently exist to solve some of the problems related to climate change?
- Has general AI been developed and deployed?
- Are we dependent on AI for survival?
- Is seed AI a reality?
- Has technology helped us in preventing/countering famine, wars, and other global challenges?
- Have machines taken overpower?
- Has politics become AI?
- Do we have AI continents?
- Are governments in charge of designing AIs we are relying on?
- Is there a stable and effective to enforce global cooperation?
- Am I living in a liberal-democratic nation-state?
- Is China running the AI show?
- Is AI regulated?
- Are AIs regulating resource allowance? Work assignments? Schedules? Politics?
The Fourth Industrial Revolution Influencing Futures of Basic Needs
The next session had the participants reshuffled around five basic needs to survive and thrive in a climate-changed world: Food, Water, Nature, Human Security, and Health.
The groups were asked to take the discussion points from the probable futures of technologies session and explored their convergence points and impacts on the Future of basic needs. Each participant was again asked to ideate individually, reflect on them, and share their ideas and insights with the group. The group would then report back to the plenary to share the group’s output.
Questioning Assumptions about Food Futures via Causal Layered Analysis
CLA or the Causal Layered Analysis is one of the most powerful foresight theories and tools used by futurists and policy analysts to analyze and integrate diverse modes of knowing reality to explore plausible futures. The tool is applied not for its predictive value, but it allows end-users to peek at layers of, vertical and horizontal, plausible futures. The real or the future can be deconstructed, understood, and re-imagined at different levels namely: the news headlines or the litany and quantitative trends; systems – STEEPLE analysis or technical analysis backed by data; worldview – the deeper values that are actor-invariant or discourses we use to understand or frame an issue; and the metaphor or myth level of analysis that incorporates emotional feelings, the narrative that constitutes reality or the inner story level of experience that gives meaning to beliefs, values or cognitions. For more about the Causal Layered Analysis, check or grab a copy of CLA readers at http://www.metafuture.org/product/cla-reader-and-cla-2-0-pdfs/.
The group that deconstructed their assumptions of probable and desirable futures, the food group, in particular, acknowledged their biases in that each of them interprets the problem as they’ve experienced them. The fact was that they were influenced or that they’ve held onto some deeply held views or value propositions to what and how must the future of food be and should be like. It was difficult to distance oneself from the analysis and it was even more challenging to imagine the future beyond the business as usual. Via the CLA, knowing our cognitive biases enabled participants to not just be aware of them but to open up, disclose and share these biases for a deeper and more inclusive, sublime, or perhaps a more spiritually or emotionally connected, or for lack of a better word, mindful or being-full conversation.
Participants were able to individually and collectively reflect on what their biases in their assumptions were and questioned them. The breadth and depth and the layers of the group’s reflections revealed previously dormant future assumptions. The quality and inclusiveness in the conversations, the content, and the contexts were surprisingly different from what was imagined or discussed on Day 1. Some unique ideas and perspectives of alternatives hit the group and me, as a facilitator, to the core. The group began to re-frame the future by questioning them at different levels of reality.
News headlines – What if there is no one way of getting people or farmers organized to scale and upscale their interests in production, consumption, trade, markets, etc. at the local and global levels? What if singularity or homogeneity leads to oppression or authoritarianism? What if our choices evolve into something more heterogeneous and not homogeneous? What if all that has been or that what we’ve had previously assumed or imagined is disrupted by some certain events like a global catastrophe that leads to global food crises? What if this one singular desired future or breakthrough technology increases the single point of failure types of risks? What if suddenly our body mutates into something that requires lesser physical food? What if the food we eat becomes weirder? What if the way we produced and consumed food evolved into something really strange (something that was un-imagined in 2019)? What if we humans due to some human body induced, tech-altering human natural biology suspends or totally ends the feeling of hunger or need for food in human bodies (i.e. neural food ends human hunger in 2040)?
Worldviews – The bias of scalability is in itself a problem; The bias that I have the solution to every problem and jumping straight to a solution or our tendency to commit ourselves to a singular solution blind us from knowing what the problem really is, is the problem. This holds us back from being, from knowing, experimenting, and innovating; Being super optimistic or being overly pessimistic is a negative cognitive bias.
Metaphor – Our tendency to upscale and intensify; the human addiction to speed and growth; the pursuit of excellence is our fatal flaw. The strong belief or the mindset to expect an outcome is a perceptual and behavioral bias. The expectation of an outcome is a corrosive cognitive bias. It shuts us off from imagining an alternative story of the future, of life and progress. (To be continued…)