What happens when AI and humans work together to solve global problems?
Fred Rogers of Mister Rogers’ Neighborhood shared that his mother would say, in times of crisis, “Look for the helpers. You will always find people who are helping.”
The plight of displaced persons, the global food crisis and natural disasters are real challenges people face every day. With the expansion of violent extremist groups and civil unrest around the world, the need for providing safety and security is as important as ever.
While these issues aren’t new, the application of artificial intelligence to augment our ability to solve them is. What if artificial intelligence is the change agent we need to significantly accelerate our ability to have positive, lasting impact in these areas in a globally sustainable way?
“What if artificial intelligence is the change agent needed to solve global problems?”
Addressing privacy with AI and blockchain
The World Food Programme uses blockchain technology to distribute food to Syrian refugees in Jordan. Beyond this, blockchain holds potential for re-establishing government identities for displaced persons by creating digital records that are unique, accessible from anywhere and encrypted for privacy. The ability to formally validate one’s identity is critical for securing a new life when transitioning from a refugee camp.
Consider blockchain as a data source to feed artificial intelligence algorithms. AI could analyze blockchain data to help with forecasting resource demands, understanding overall program effectiveness and perhaps eventually gaining insight on challenges and successes of refugee transition.
The ability for blockchain to provide an official identity to those who have lost everything is a new solution to a problem experienced across the globe. It holds the potential, when combined with artificial intelligence capabilities, to guide data-driven policies and programs that address needs in a meaningful, high-impact way.
When an earthquake devastated Nepal in 2015, AI identified and categorized resource needs from tagged tweets to triage response efforts based on urgency, building damage and resource deployment.
Perhaps the most transformative way that AI can aid in disaster relief operations is incorporating the analytic power of machine intelligence throughout emergency command centers. Consider these scenarios:
“AI can aid in disaster relief operations by incorporating the analytic power of machine intelligence.”
- Smarter systems can distribute and monitor resource deployment effectively.
- Streaming image analysis of the environment can provide alerts to emerging dangers.
- Digitizing victim information and establishing identity at the point of contact provides more robust data for medical treatment and continued care efforts.
These capabilities support more robust data collection and analysis, leading to better-informed decisions and faster response times.
AI for safety and security
In times of civil unrest and humanitarian crisis, safety and security remain a top concern. How do you protect those fleeing from or living in an area rife with violence and instability?
Military and law enforcement organizations around the world are looking at how artificial intelligence can help sift through a variety of data sources and formats to detect and assess emerging threats. AI is analyzing pattern of life connections throughout criminal networks at an unprecedented speed, helping those on the front lines gain better situational awareness and improving the ability to preemptively target and address acts of violence.
For those living in areas plagued with instability, the global food crisis is front and center. In areas of extreme poverty, a good harvest can be the difference between life and death. AI is helping farmers in the developing world understand the ideal time to sow crops by analyzing decades of weather data and monitoring daily rainfall reports.
AI algorithms have successfully determined the optimal sowing time and predicted the best timelines for producing a good harvest season in different regions by finding key patterns in past and present weather data.
This affordable approach demonstrates how, without the need for expensive sensors or investment in additional equipment, AI legitimately helps farmers around the world.
The ethical use of AI remains a top priority
“AI is a catalyst for new approaches to significant issues.”
In each of these examples, the same concerns that surround AI in the business market are relevant. Is the data being collected and used in an ethical manner? Is there transparency and interpretability built into the AI models being deployed? Is there due diligence in managing bias?
These should always be guidelines for implementation. But when it comes to improving quality-of-life issues around the world, it is important not to let a quest for perfection become a barrier to progress.
AI is not the single answer to solve all these problems, but it is a catalyst for new approaches to significant issues.
In a moment of crisis, look for the helpers. And don’t overlook those who are creating powerful technology and innovative approaches to help people in need and make a difference in this world.
Contrary to what some may think, there is no magic in AI. But there is certainly humanity.
This article first appeared on the SAS Insights blog and was republished with permission.
Every morning, wake up to the blog that gives you the latest trends shaping tomorrow.