Digital Trust has a different inflection again in the scenario we modeled and call Quantified Citizen. Consumers in this world put a remarkably high degree of trust in third-party organizations — from commercial platforms to the state — to shape their behaviors, choices and lifestyles.
Every consumer has a personal ”score”or rating that is publicly available. They can increase this score by behaving in ways that are deemed to be socially or culturally appropriate. A higher score gives the consumer access to better products, services and experiences.
Consumers don’t see this level of organizational control as intrusive or as a limit to personal freedom. On the contrary, they see it as something very positive.
It enables them to live the kind of lives they aspire to. And it gives them a clear and navigable path to getting what they want — for themselves, their families and their communities.
The behavior of companies is also publicly scored, across everything they do — from the quality of the goods they provide, to their treatment of employees, to their environmental impact.
These corporate scores are continually assessed, recalculated and shared openly. Companies and brands with higher scores could earn tax breaks, face less regulatory scrutiny or gain access to premium consumers. Those with lower scores could face fines and other penalties.
Even a brief dip in an organization’s behavior could have a sudden and catastrophic effect. So, to prosper in this world, a company would need to constantly monitor and assess its actions — from its engagement with every single customer to the behavior of every member of its ecosystem.
It would have to be fully compliant with expectations — not just consumer or regulatory expectations, but the expectations of all its ecosystem partners.
All these expectations are likely to be fluid and unpredictable. Yet a failure to meet them will be punished immediately. When the company’s license to operate is under continual threat from emerging risks that can suddenly become catastrophic, the balance between risk technology and human intervention needs to change.
Threats need to be identified and resolved faster than any human decision chain can manage. If they need to be escalated higher up the organization for action, that has to happen instantly. How can you use AI to make that speed of response possible?