Imagine a large city recovering from a devastating hurricane. Roads are flooded, the power is down, and local authorities are overwhelmed. Emergency responders are doing their best, but the chaos is massive.
Authors
- Hao Cui
Research Fellow in AI-Enhanced Collective Intelligence, Trinity College Dublin
- Taha Yasseri
Workday Chair of Technology and Society, Sociology, Trinity College Dublin
AI-controlled drones survey the damage from above, while intelligent systems process satellite images and data from sensors on the ground and air to identify which neighbourhoods are most vulnerable.
Meanwhile, AI-equipped robots are deployed to deliver food, water and medical supplies into areas that human responders can't reach. Emergency teams, guided and coordinated by AI and the insights it produces, are able to prioritise their efforts, sending rescue squads where they're needed most.
This is no longer the realm of science fiction. In a recent paper published in the journal Patterns , we argue that it's an emerging and inevitable reality.
Collective intelligence is the shared intelligence of a group or groups of people working together. Different groups of people with diverse skills, such as firefighters and drone operators, for instance, work together to generate better ideas and solutions. AI can enhance this human collective intelligence, and transform how we approach large-scale crises. It's a form of what's called hybrid collective intelligence.
Instead of simply relying on human intuition or traditional tools, experts can use AI to process vast amounts of data, identify patterns and make predictions. By enhancing human decision-making, AI systems offer faster and more accurate insights - whether in medical research, disaster response, or environmental protection.
AI can do this, by for example, processing large datasets and uncovering insights that would take much longer for humans to identify. AI can also get involved in physical tasks. In manufacturing, AI-powered robots can automate assembly lines, helping improve efficiency and reduce downtime.
Equally crucial is information exchange, where AI enhances the flow of information, helping human teams coordinate more effectively and make data-driven decisions faster. Finally, AI can act as social catalysts to facilitate more effective collaboration within human teams or even help build hybrid teams of humans and machines working alongside one another.
AI-driven improvements to all these different aspects can make the entire, interconnected system more adaptive and intelligent.
We're already seeing the impact of AI-enhanced collective intelligence. In disaster response, AI systems already analyse satellite imagery and sensor data, generating risk assessments that help human responders to prioritise rescue efforts and allocate resources efficiently.
In healthcare, AI already helps doctors make faster and more accurate diagnoses by analysing large patient datasets. Medical teams refine AI recommendations with their expertise, ensuring the best possible treatment plans. Robots equipped with AI can assist surgeons in performing delicate tasks, allowing for greater precision.
In media, AI curates and verifies news from global sources, assisting journalists in fact-checking and uncovering misinformation. This collaboration can strengthen the accuracy and reliability of information in an era of digital media. However, AI can also drive the dissemination of fake news and disinformation. These include deep fake videos of, for example, politicians, which have the potential to affect elections.
In the public sector, AI-powered policy simulations help governments anticipate the impacts of regulations. Crowd-sourced citizen feedback, combined with AI analysis, can give a sense of the public mood.
Environmental protection is another area benefiting from AI-enhanced collective intelligence. AI systems can analyse patterns data on pollution, deforestation, and wildlife movements, guiding human efforts to address environmental challenges more effectively.
As we can see, AI-enhanced collective intelligence is already here, transforming how we approach some of the world's toughest problems. The key is to recognise that AI is a collaborator, not a competitor. When we combine human creativity, intuition, and ethics with AI's data processing power, the possibilities for what we can be achieved are substantial.
As we look towards the future, AI's potential becomes even more exciting. From addressing global health challenges like pandemic prevention to developing solutions to the climate crisis, AI will be at the forefront of tackling issues once thought insurmountable. But this potential comes with responsibility.
It's up to us to guide how this collaboration evolves, ensuring that AI is used responsibly and ethically in ways that enhance human capabilities rather than diminish them. We must engage in shaping policies and frameworks that promote transparency, fairness and inclusivity through a new sociology of humans and machines.
Collaboration across industries, governments, and communities will be crucial to unlocking AI's full potential. Together, we can build a future where AI not only augments human intelligence but also helps solve the challenges of tomorrow, creating a more equitable, sustainable, and prosperous world for all.
Hao Cui receives funding from the Research Ireland.
Taha Yasseri does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.
