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Summary
AI adoption is rapidly accelerating in the insights space, and researchers are rushing to explore the possibilities and pitfalls it presents. Without a doubt, it will change the nature of our work, but where do we stand now? Our panelists will examine passionate defenses for the value of AI, offer reasoned critiques, discuss practical applications, and discuss how we can collectively move forward in an ethical and human-centered manner. Attend all of our Advancing Research community workshops Each free virtual workshop is made up of panelists who will share short provocations on engaging ideas to discuss as a group, as well as a leader in our field to moderate. If you're looking for discussions that challenge the status quo and can truly advance research, look no further than our workshop series. (P.S. We’ll be drawing most of our Advancing Research 2025 conference speakers from those who present at upcoming workshops—so tune in for a sneak peek of what's to come from #AR2025!) July 24, 4-5pm EDT Watch Video Theme 1: Democratization Working with it, not against August 7, 11am-12pm EDT Watch Video Theme 2: Collaboration Learning from market research, data science, customer experience, and more August 21, 4-5pm EDT Watch Video Theme 3: Communication Innovative techniques for making your voice heard September 4, 11am-12pm EDT Watch Video Theme 4: Methods Expanding the UXR toolkit beyond interviews October 2, 11am-12pm EDT Watch Video Theme 6: Junctures for UXR Possible futures and the critical decisions to move us forward October 16, 4-5pm EDT Watch Video Theme 7: Open Call Propose ideas that don’t match our other workshops’ themes
Key Insights
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AI technology has caused significant polarization in society, leading to excitement and fear about job security and its impact on industries.
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Ethical considerations must be central to AI development, requiring interdisciplinary collaboration to address complex social issues.
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AI can perpetuate existing biases and create new power dynamics if not designed carefully, necessitating a focus on inclusivity.
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Asking critical questions about who is included or excluded from AI processes is essential to mitigate harm to vulnerable populations.
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Edge cases are where significant breakthroughs can occur, but AI often overlooks them, leading to a loss of potential insights.
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AI's reliance on data can reinforce dominant narratives, sidelining marginalized voices and overlooking biases in data collection.
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Cross-disciplinary dialogues are necessary to understand the broader implications of AI technologies in various fields.
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AI has the potential to open new avenues of scientific research and innovation but comes with environmental considerations and ethical dilemmas.
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Viewing AI as an evolving system requires constant attention and adjustment to address inherent biases and ethical challenges.
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Positive examples of AI use exist, highlighting its ability to assist with factual questions, enhance scientific modeling, and support the design of responsible technologies.
Notable Quotes
"This is how behind I can deal with AI sometimes."
"The challenges we're all facing right now is the need to slow down and take a critical assessment of where we are."
"AI does work at this massive scale. It has a lot of systems level impacts."
"Science advances not from the center, but along those edges and on the margins."
"The act of asking a question changes the results; results are nudged by the construction of the prompt itself."
"AI is a space that reflects the dominant hegemonic view, creating a virtual worldview where counter views do not exist."
"What does it look like to interrogate the goal of the process when using AI?"
"We may not know the unintended consequences of our work with AI; those can often be hidden on the edges."
"There is real urgency and need for this technology to address unprecedented changes."
"We need to question who is asking the questions and how these biases impact our designs."
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