AI could help scale humanitarian responses. But it could also have big downsides

More complex or sensitive queries are escalated for humans to respond.

The most important potential downside of these tools would be that they don’t work. For example, what if the situation on the ground changes and the chatbot doesn’t know? It could provide information that’s not just wrong, but dangerous.

A second issue is that these tools can amass a valuable honeypot of data about vulnerable people that hostile actors could target. What if a hacker succeeds in accessing data with personal information or if that data is accidentally shared with an oppressive government?

IRC said it’s agreed with the tech providers that none of their AI models will be trained on the data that the IRC, the local organizations or the people they are serving are generating. They’ve also worked to anonymize the data, including removing personal information and location.

As part of the Signpost.AI project, IRC is also testing tools like a digital automated tutor and maps that can integrate many different types of data to help prepare for and respond to crises.

Cathy Petrozzino, who works for the not-for-profit research and development company MITRE, said AI tools do have high potential, but also high risks. To use these tools responsibly, she said, organizations should ask themselves, does the technology work? Is it fair? Are data and privacy protected?

She also emphasized that organizations need to convene a range of people to help govern and design the initiative — not just technical experts, but people with deep knowledge of the context, legal experts, and representatives from the groups that will use the tools.

“There are many good models sitting in the AI graveyard,” she said, “because they weren’t worked out in conjunction and collaboration with the user community.”

For any system that has potentially life-changing impacts, Petrozzino said, groups should bring in outside experts to independently assess their methodologies. Designers of AI tools need to consider the other systems it will interact with, she said, and they need to plan to monitor the model over time.

Consulting with displaced people or others that humanitarian organizations serve may increase the time and effort needed to design these tools, but not having their input raises many safety and ethical problems, said Helen McElhinney, executive director of CDAC Network. It can also unlock local knowledge.

People receiving services from humanitarian organizations should be told if an AI model will analyze any information they hand over, she said, even if the intention is to help the organization respond better. That requires meaningful and informed consent, she said. They should also know if an AI model is making life-changing decisions about resource allocation and where accountability for those decisions lies, she said.

Degan Ali, CEO of Adeso, a nonprofit in Somalia and Kenya, has long been an advocate for changing the power dynamics in international development to give more money and control to local organizations. She asked how IRC and others pursuing these technologies would overcome access issues, pointing to the week-long power outages caused by Hurricane Helene in the U.S. Chatbots won’t help when there’s no device, internet or electricity, she said.

Ali also warned that few local organizations have the capacity to attend big humanitarian conferences where the ethics of AI are debated. Few have staff both senior enough and knowledgeable enough to really engage with these discussions, she said, though they understand the potential power and impact these technologies may have.

“We must be extraordinarily careful not to replicate power imbalances and biases through technology,” Ali said. “The most complex questions are always going to require local, contextual and lived experience to answer in a meaningful way.”

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Thalia Beaty, The Associated Press