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diagnosing a perceived illness, or deciding where to invest, issues of trust emerge at every step. To guide our decision-making we rely on credible sources of information, enforceable contracts and guarantees, and communities of individuals whose life experiences are comparable to our own. Since the earliest efforts to organize human societies, we’ve modeled trust from these building blocks of our society.
Today, as our services and interactions reach across the globe through complex digital networks, the bedrock of trust is eroding. Beyond widespread questions about fake news and a post-truth society, we find a more profound set of technological, social, and institutional transformations disrupting the landscape of trust by upending the foundations of our institutions and authority structures across the business, civic, and social spheres. To help you navigate these risks and uncertainties, we’ve identified seven future forces reshaping our familiar building blocks of trust. From the rise of nonhuman actors to revolutions in biological science, the emerging landscape will challenge us to remodel trust to build, maintain, and communicate with our partners, neighbors, and customers. In the coming decade, will we primarily filter distractions and viewpoints to keep out ideas and actors that conflict with our sense of identity and meaning? Outsource the burden of decision-making to smart objects and authorities? Leverage the ongoing flood of data to continuously verify the information behind our decisions? Or reinforce physical and digital boundaries to define who is in and out of our trusted networks? As the future unfolds, how will we remodel trust to anticipate risk and clarify action?
SHIFTING AUTHORITIES AND EVIDENCE Can we believe what we read, see, and hear? The last decade was driven by the rise of big data, and the next will be remade by back-end systems transforming data into valuable insight with limited human involvement. Already, machine learning systems make decisions for us from medical diagnoses to hiring. Increasingly high-stakes outcomes are shaped by insight humans didn’t generate and may not even be able to understand. These systems are creating intuitive leaps and valuable insights beyond human capacity. With the information environment increasingly polluted by intentional misinformation—threatening the quality of automated analysis—it will be harder for humans to act on incoming data. FRAGMENTING IDENTITY AND EPHEMERAL COMMUNITIES Which identities will fragment and what new categories will determine who’s in and out? We’re witnessing a transformation of default identities through massive demographic shifts in birth rates, migration, and aging. Such quantitative shifts are accompanied by a reinvention of the concept of identity, as categories of race, sexual orientation, gender, and culture are becoming more fluid and mixed, empowering people to self-identify with a much wider set of mutable identities. Meanwhile, global interconnection is helping more people seek out and connect with others like themselves while amplifying group tensions and anxieties. This fragmentation will play out in all spheres of human activity and challenge the basis of legal, political, and other institutional systems built on conferring rights to hard identity categories. MANIPULATING PERCEPTIONS AND PERSUASION How can we ethically harness emerging understandings of human decision-making to balance skepticism and trust? Fields like psychology and behavioral economics have upended understandings of how people make evaluations and decisions. This process will accelerate as advances in neuroimaging bring transparency into how our brains formulate trust and decompose meaningful distinctions between cognitive processing of trust and distrust. New understandings—coupled with ongoing improvements in the ability to target people with ads and information—will create radical new capabilities to influence perceptions, emotions, and decisions. Setting aside intentional deception, extreme targeting has as much potential to persuade and create confusion, fatigue, and overwhelm as to engage. COLLABORATING WITH NONHUMAN ACTORS How will humans coexist with machine actors that are quickly becoming our managers, collaborators, and surrogates? Machine intelligence shapes us in unseen ways, turning machines into actors in business, social, and civic spheres. Robust networks of intelligent things will take open-ended action based on rules designed for human actors and social systems. Already, jobs are getting unbundled into tasks to be routed, tracked, and reassembled into value by algorithmic managers. In the world of autonomous cars, governments are remaking the rules of the road for nonhuman drivers— a development rapidly infiltrating other domains. Shopping bots are snatching up hot tickets, reselling them at huge markups, and televisions are intelligently breaking the law to bypass regulatory tests.
Reshaping trust across the business, civic, and social spheres
Security challenges—from human errors to unforeseen technical vulnerabilities—will continue to make digital communication subject to exploitation. These weaknesses will be exacerbated by the speed with which information can spread and affect real-world outcomes, creating an environment in which seemingly benign mistakes can create huge impacts, and renewing fears about sharing and exchanging sensitive information.
Monetizing billions of viewers through advertising underscores a critical dilemma—social networks need attention to drive revenue, regardless of external costs. Attention hacking will be exacerbated by advances in machine learning systems that automatically generate information intended to deceive and spread. Coupled with tools to manipulate video and audio in seemingly authentic ways, an explosion of machine-generated content will aim to maximally engage audiences.
As questions swirl around the integrity of information technologies, emerging interfaces—from immersive, augmented reality platforms to sophisticated, voice- based systems—will require mastering new platforms and meeting continued information challenges. From questions about product advertising to obviously contentious issues around who owns the digital information layer over physical space, we’ll need models for ensuring the utility, quality, and validity of information in these new interfaces.
Making new systems of trust
trust—INFORMATION we’re exposed to and seek out, COMMUNITY networks we interact with daily, INFRASTRUCTURE we rely on to activate our plans, AGREEMENTS we make and ask of others, and POWER structures that shape or constrain our behavior—will be reshaped by the seven future forces described earlier.
theatlantic.com theverge.com kotaku.com An era of abundance and noise INFORMATION: The internet has brought seemingly contradictory phenomena. We’ve gained transparency in countless domains, yet the climate for trusting what we read and hear is noisier than ever. We connect more easily, but these connections can produce greater isolation and tribalism. In part, contradictions emerge due to the sheer abundance and persistence of information. We haven’t yet learned how to manage a world in which every message is stored and facts and falsehoods are equally accessible. Managing Human Error The phishing of John Podesta’s email was traced to a typo calling a suspect link “legitimate,” not “illegitimate.” The Rise of Deepfakes A group of anonymous Reddit users developed open-source tools for deepfakes, superimposing celebrities’ faces onto pornographic videos. Augmented Activism LGBT activists took over naming the Pokemon Go, Westboro Church within signaling augmented reality as a future battleground.
Self-driving vehicles are increasing in complexity and likely to be abundant by 2030. In autonomous vehicle software, the distinction between hands-on and hands-off autonomy is critical. But for human drivers, more telling change will occur with no human controls. As our infrastructure becomes autonomous and mobile, we’ll face vital questions about how to coexist and interact with machines that act on their own.
Markers of opportunity and community are coming untethered from geography as telecommuting increases and services are consumed globally. Still, we need community within our physical space. Cities are good places to find jobs and tribes, but telepresence tech, automated transport, and online affinity groups encourage people to develop communities beyond urban centers. We’ll see peripheral urbanization, with suburbs outside urban hubs optimized for community values.
As intelligent machines communicate more intuitively, gaining power to trigger action in the world, they’ll assume more prominent roles in communities, becoming caregivers, mediators, and officers. What forms robots take and how they’re accepted will vary by culture and geography worldwide. As technologies become more powerful and adaptable, our cultural perspectives will continue to diverge, with communities incorporating bots in vastly different ways.
Increasingly we look beyond traditional economic metrics to understand and quantify how communities shape experience, looking instead to metrics like happiness, health, and trust. Each category can become a source of contention and focused action, from decreasing junk food access to creating chemical-free communities. As differing categories emerge and gain traction, they’ll reshape questions around access, funding, and who is and is not part of a group. theatlantic.com goldenvisas.com cnn.com theatlantic.com fusion.kinja.com Defining who and what belongs COMMUNITY: The ways we form communities are changing, as are the value and benefits we expect communities to provide. With so many options, we’ll experience new anxieties around who and where community members reside, how to measure and manage our shared spaces, and welcome intelligent machines as peers in unprecedented ways. As these forces reshape the role of community in our lives, trust will take center stage in future communities we form. Citizenship for Sale Estonia, Spain, and other countries sell virtual citizenship, providing access to passports and other rights. Rise of the Robocops Dubai hopes to improve trust by recruiting robots to make up 25% of its police force by 2030. Food Deserts and Swamps Public health researchers identify communities oversupplied with junk food as food swamps. ystemss omplexc Relying on INFRASTRUCTURE: We’ve come to trust our infrastructure to work and our resources—from energy to medicine—to remain sufficient. Ramping up system complexity adds to the nature of this trust, as we understand less about how autonomous systems work and question whether trust is warranted. We’re moving toward an interconnected world that simultaneously demands greater trust and relies on external verification. The penalty for trust violations, from net neutrality to legacy drugs, can be dropping out of the system. Pedestrians Undetected Video of a self-driving Volvo hitting pedestrians went viral after built-in safety systems failed to stop the car.
High-value assets such as art and exotic raw materials will be tagged with sensors and tracked through supply chains, allowing stakeholders to verify provenance and reduce tampering, counterfeiting, and insurance fraud. Such tools could be used to ensure food safety or transparency in global trading. As it becomes easier to manipulate ways we communicate and share data, blockchain-based tools will become increasingly critical for coordination and collaboration.
Blockchain-based technologies face the same misuses as other digital technologies, becoming part of criminal and government arsenals. The ability of smart contracts to carry out programmatic functions when certain conditions are met will combine with acts of digital terrorism, ranging from crypto-locker attacks to weaponizing Internet of Things devices. Time bomb malware will increasingly contain an element to activate its malicious payload under precise conditions.
As mixed-reality technologies move to the market, online information warfare will proliferate. An unfiltered mixed- reality future will be filled with advertisements—and tools to block advertising and other unwanted online content. Anything politically or morally suspect could be censored from the user’s view of the mixed-reality world. Face recognition technology will make it possible to filter out not just unwanted ideas but also those who hold them.
The Politically and socially disruptive advertising the Russian government deployed on Facebook and other social media platforms was actually quite crude, relying on blunt images and terms intended to elicit a reaction from narrow target audiences. The next step will be to use deep learning algorithms to determine the epigenome of beliefs and target not simply surface-level opinions, but underlying values and norms as well. venturebeat.com maersk.com wired.com en.wikipedia.org pcgamer.com fcc.gov Global Trade IBM and Maersk partnered on a blockchain-based joint venture aimed at creating distributed mechanisms for tracking routes of goods. Viral Criminals North Korea spread the WannaCry crypto-locker virus, using tools developed by and stolen from the US National Security Agency. Great Firewall China restricts its internet, censors websites, and blocks foreign products, giving its people the least online freedom on the planet. Fake Comments Spambots corrupted the FCC’s comment process for net neutrality, including comments from former President Obama and deceased citizens. New ways to force action POWER: Forms of power vary over time, as does our ability to counter unfamiliar expressions of power, whether in diplomacy or propaganda. Variances come from evolutions of forms—from muskets to automatic weapons—and from new ways to exercise power, recently in cyberwarfare, hacking, and mixed reality. If power is a performance, its success or failure is meaningful for those bearing witness and those taking part. Altering witnesses’ perceptions may be more important than actual outcomes.
© 2018 Institute for the Future. All rights reserved. Reproduction is prohibited without written consent. SR-2010A
CONTINUOUS VERIFICATION To achieve certainty in the future, imagine a service that leverages networked betting markets to offer the highest-confidence assessments with the fastest possible turnaround. Such offerings might begin in recreational arenas like esports, incentivizing both analysts and algorithms to scour the available data and predict the likeliest outcome. By putting money on the line, could you anticipate outcomes faster and more reliably than your competitors? If the predictions prove reliable, how long before these kinds of verification services become embedded into legally-binding smart contracts to increase trust (and save money) in higher-stakes tasks like insurance appraisals and fraud prevention? As decisions take place at an ever-faster pace, are you ready to pair people and machines to continuously verify what you need to know moment-to-moment?
BOUNDARY MANAGEMENT As bespoke cryptocurrencies become easier to design and manage, imagine how future communities might employ them to codify community values and protect local economies. Gentrifying neighborhoods might decide to subsidize lower-income residents with their own take on universal basic income, trading community tokens for electricity generated by rooftop solar and food grown by automated container farms. As global forces heighten competition and upend traditional assumptions, how many beleaguered communities will seek refuge from the volatility by retreating into digitally-gated communities? As powerful new tools for rule-making and governance become more accessible, will you build community cohesion by embracing global connection or constructing new digital enclaves?
As institutions acclimatize to our information- dense environment, the most successful strategies will combine the best data sources with the best interpretation frameworks. AGREEMENTS
The emergence of blockchain technologies enables neighborhoods and other informal groups to create quasi-governmental zoning rules and local laws.
With personal digital trails growing deeper and more detailed every day, our histories become searchable and vulnerable to activism and outrage.
The ability to produce food, energy, and other basic necessities at local levels enables local groups to disconnect from broader global trends. INFRASTRUCTURE
Legacy structures for assessing compliance, fraud, and liability find better outcomes at lower prices from new algorithmic players. AGREEMENTS
Algorithmic decision-making becomes codified into law through transparent and distributed smart contracts underpinned by blockchain-like ledgers.
In a hyper-networked information environment, professionals interact continuously with advisory bots to empower high-stakes decision- making in real-time. COMMUNITY
As we continue down the path of measuring as much as possible, even seemingly qualitative measures like community identity get quantified to shape rules and actions.
OUTSOURCED AUTHORITY As continuous breakthroughs in data-rich sciences break our traditional models of understanding, a new wave of “experts” will draw on emerging information sources and algorithmic philosophies to earn our trust and make decisions on our behalf. Imagine a near-future match-making service that relies less on self-reported data like hobbies and interests, and more on the measurable biochemical reactions produced in the gut when you encounter a potential partner for the first time. Do you choose the algorithmic expert that optimizes for physical attraction, or for financial compatibility? How important are gut feelings when gut data is readily available?
As data-driven advancements in fields from biology to neuroscience become more mainstream, they will spawn new services that require new literacies to assess and navigate.
Users develop workarounds and strategies to create more selective kinds of privacy—which get automatically enforced by increasingly flexible digital infrastructure. COMMUNITY
Virtual and affinity-based communities move into the physical world and further break down traditional local community dynamics.
As physical filtering goes mainstream, people use these tools to determine who can and can’t find or interact with them.
As phones give way to augmented reality headsets, many of today’s filtering and spam blocking practices become strategies for curating experiences in the physical world. COMMUNITY
Whereas trust has traditionally been managed by regional and national institutions, platform-based experts will create new institutional forces that live only in the cloud and on our devices.
Algorithmic experts will require access to a broad range of datasets, requiring new security and authentication practices to separate the genuine truth-tellers from the snake oil platforms.
To navigate complex and intercon- nected systems, we’ll increasingly rely on algorithmic experts to curate and analyze our data, entrusting them to decide what information we see and what we’ll never see again.
From Farmer’s Almanacs to Bloomberg terminals, we’ve always relied on troves of trustworthy data to assess the evidence behind of our decisions. But how do we adapt to a world flooded with too much data to process, let alone verify?
Anybody who has ever participated in office politics or community associations recognizes that building trust in a community setting requires the identification of boundaries—who’s in the community and who’s not. But how do we manage these boundaries when our communities are spread across physical and digital landscapes, with shared attributes that extend well beyond nationality, ethnicity, or culture?
In previous centuries, we relied on trusted institutions and certified experts to weigh in on decisions beyond our expertise. But as our legacy authorities struggle to retain the trust they once took for granted, what new experts will emerge from our smart objects and connected platforms?
Social media filter bubbles have already created deeply polarized communities within our highly networked culture. But as media manipulation tools mature and AR/VR technologies offer deeper immersions into highly personalized realities, when does trust become more a matter of truth-making than truth-seeking?
FILTERED PREFERENCES What happens when we get ad blockers for the physical world? Imagine a world not too far from now where augmented reality glasses and virtual reality workspaces have become a fixture of everyday life, enabling a vast array of filters that can add layers of desirable content to our lives, as well as keeping undesired content out of our field of view. While these perceptual and cognitive filters will empower innumerable new avenues for coercion and manipulation, other benefits will be less expected— such as the ability to block oneself from others’ view, or to earn revenue from paid product placement. What does privacy look like in a world in which anything can be conjured and everything can be filtered out? Over the next decade, every person and organization will grapple with increasing tensions around trust. Think about the choices and dilemmas facing your organization and ask: How will you remodel trust? Consider the four questions around the center. Each question represents one of four strategies for modeling trust shown on this map—verification, outsourcing, filtering, and boundary management. These four models are not new, but will create new ways to use the building blocks of trust to anticipate risks and clarify action. W h a t d (^) o y (^) o (^) u (^) o (^) u (^) t (^) s (^) o (^) u (^) r (^) c e t (^) o e x p e r t s ? W h a t d o y o u v e r^ i f^ y w i^ t h d^ a t^ a ? W^ h a^ t d^ o y^ o u fi l^ t e r o u t o f s i^ g h t^? W h a t d o y o u k e e p i n a n d w h a t d o y o u k e e p o u t?