Responsible AI, and Revolutionizing Healthcare with AI │The Exchange: Episode 23

Greenbook
5 Jan 202429:13

Summary

TLDRLenny and Lisa kick off 2024 by discussing AI trends, including mass adoption of AI across industries, shifts in white collar work, and more helpful AI agents. They cover buzzy AI topics like deepfakes and superintelligence while grounding the discussion in real examples like BuzzBack's new qualitative research collaboration studio. Other research industry news includes Echo rebranding as 10,000 Humans and a new solution called Pluralitix that creates synthetic consumer profiles. The overarching theme is that 2024 will take interesting AI developments from recent years and push them into the mainstream.

Takeaways

  • 👁‍🗨 Mass adoption of AI is expected in 2024 across industries
  • 💡 AI to get "really good" at changing how everything is done
  • 😮‍💨 Deepfakes represent a concern for society and democratic processes
  • 👍 BuzzBack launched a qualitative research collaboration studio
  • 😊 10K Humans rebranded from Echo
  • 🤝 More collaboration between research providers expected
  • 🌐 Meta/augmented reality glasses to collect patient experience data
  • 📈 More demand and value expected for in-person qualitative research
  • 😎 Innovation from outside industries contributing to research
  • ⚠️ 2024 likely to be more impactful than the past few years in AI

Q & A

  • What are some of the key AI trends predicted for 2024?

    -Mass adoption of AI across industries, AI assistants becoming more advanced and helpful, shift towards qualitative research to validate AI findings, and emergence of new regulations around responsible AI.

  • How will companies need to collaborate differently in 2024?

    -Companies will need to explore more partnerships and collaborations to keep up with AI innovation, like the Buzzback Qualitative Innovation Studio which combines multiple research providers into one platform.

  • What are some concerns around AI in 2024?

    -Proliferation of deepfakes, accountability of AI systems, and potential emergence of artificial general intelligence.

  • How can qualitative research provide value in an AI-driven world?

    -Qualitative research with real people helps ground findings in human experiences and perspectives. This becomes increasingly important to validate and contextualize AI-generated insights.

  • What was the motivation behind 10,000 Humans' rebrand?

    -The rebrand emphasizes the importance of human insight and the company's focus on ethical, high-quality access to research participants.

  • How can healthcare leverage new data sources in 2024?

    -Wearables and sensors providing personalized biometrics and health data at scale can power more preventative, precision medicine when combined with AI.

  • What is the opportunity around data ownership?

    -As AI relies more on human-generated data for training, there are open questions around compensating people for their data contributions just like content publishers.

  • What role could AI play in the 2024 election?

    -There are concerns around the use of AI to generate synthetic media and spread misinformation ahead of the 2024 US presidential election.

  • Why will in-person qualitative research be more valued?

    -With proliferation of synthetic media, in-person interactions build trust and allow better assessment of authenticity over remote engagements.

  • Why compare 2020-2023 to 2024?

    -2024 is predicted to bring an unprecedented level of technology change across society, even greater than the volatility of the previous 4 years.

Outlines

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Mindmap

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Keywords

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Highlights

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Transcripts

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