“Reasoning capabilities of [#AI] language models allow us to focus on authentic assessment, so we can minimise the distance between what we want to measure and what we can measure.”
Naria Santa Lucia, Microsoft Philanthropies:
“Not only can we train #AI developers—everybody can use [AI tools]. We fundamentally do believe that everyone’s going to need AI literacy – #GenerativeAI fluency—or they’ll be left behind.”
Kasia Jakimowicz, World Bank:
“What is very important for [businesses] to do right now … is to actually educate governments and policymakers on #GenerativeAI.”
Kacper Łodzikowski, Pearson:
“I hope that #AI will help us focus more on those higher order skills, such as critical thinking, and also 21st century skills, such as skills needed for collaboration.”
Naria Santa Lucia, Microsoft Philanthropies:
“The biases are true… We need to be mindful [that…] we’re putting forward different people … to make sure that they have a voice in developing the data.”
Kasia Jakimowicz, World Bank:
“It’s very important to make policymakers and people that create products on the ground … aware that #GenerativeAI requires some level of scrutiny, especially for emerging economies.”
Brigid Evans, Pearson:
“It’s critical to get the voice of the educator, the student, the parent involved as you’re … designing these [AI] products, to make sure that they are meeting the needs of who you’re trying to serve.”
Brigid Evans, Pearson:
“We need to be thoughtful about how we’re putting this [#AI] technology into the market. I think, particularly in education … misinformation and disinformation … [is] what keeps me up at night.”
Ravi Shankar Chaturvedi, Tufts University:
“Digital multiplies, but digital also divides. #AI can multiply much faster, but AI can also divide so much faster.”
Ravi Shankar Chaturvedi, Tufts University:
“I think there is a real risk to democracy if these [#AI] tools are not in any way channelled … in a meaningful way … [so] they don’t cause the harm that we worry they would.”
