
Faster, Cheaper, Stronger? AI in Consumer Research
Join us for an insightful exploration into the evolving world of AI in consumer research! As AI rapidly transforms the field, we delve into whether its insights are genuinely more reliable or merely cheaper to obtain.
🗣️ Panelists:
- Dr. Zac Posada-Baynham - Director of Behavioural Science, Burson
- Dr. Dario Krpan - Behavioural Science Associate Professor, LSE
- Prof. Owain Service - CogCo CEO
- Earl Panganiban - Behavioural Lab, LSE
📅 Event Format:
- 5-Minute Presentations: Each speaker shares their experiences, highlighting AI methods in consumer research, successes, and challenges.
- 30-Minute Moderated Q&A: Embark on a collective discussion diving into pivotal questions around AI's role.
- 15-Minute Audience Q&A: Engage directly with our experts!
🔍 Key Discussion Points:
- Uncovering AI's Footprint in Research: Discover which AI tools are thriving and which are falling short.
- AI Workflow Integration: Understand the comfort levels surrounding AI delegation in research.
- Measuring vs. Modelling Behaviour: Discuss challenges in trusting synthetic samples amidst thin validity evidence.
- The Behavioural Blind Spot: Examine the gap between research insights on bias and current AI applications.
- Quality Assurance in AI: As timelines shorten, how do we ensure quality isn't compromised?
This event is in-person at Encode Hub in London, proudly sponsored by Human Behaviour AI (HBAI).
📍 Location:
Encode Hub, 41 Pitfield St, London N1 6DA
🕡 Date & Time: 10 June, 6:30 PM
We look forward to insightful conversations and valuable exchanges — see you there!
About Encode:
A vibrant developer community fostering creativity through hackathons, accelerators, and educational programs, alongside a dynamic coworking space in Shoreditch!
About Human Behaviour AI (HBAI):
An AI consultancy dedicated to enhancing human-machine interactions; helping organizations strategize and innovate with AI. Learn more at humanbehaviour.ai.
Grab your tickets here! 🎟️
Ähnliche Veranstaltungen
Encode Hub
Route








