These are the most important AI trends, according to top AI experts — from nexxworks.com
Somewhat in the shadow of the (often) overhyped metaverse and Web3 paradigms, AI seems to be developing at great speed. That’s why we asked a group of top AI experts in our network to describe what they think are the most important trends, evolutions and areas of interest of the moment in that domain.

Excerpt:

All of them have different backgrounds and areas of expertise, but some patterns still emerged in their stories, several of them mentioning ethics, the impact on the climate (both positively and negatively), the danger of overhyping, the need for transparency and explainability, interdisciplinary collaborations, robots and the many challenges that still need to be overcome.

But let’s see what they have to say, shall we?

Also relevant/see:

AI IS REVOLUTIONIZING EVERY FIELD AND SCIENCE IS NO EXCEPTION — from dataconomy.com by KEREM GÜLEN

Table of Contents

  • Artificial intelligence in science
    • Artificial intelligence in science: Biology
    • Artificial intelligence in science: Physics
    • Artificial intelligence in science: Chemistry
  • AI in science and research
    • How is AI used in scientific research?
      • Protein structures can be predicted using genetic data
      • Recognizing how climate change affects cities and regions
      • Analyzing astronomical data
  • AI in science examples
    • Interpreting social history with archival data
    • Using satellite images to aid in conservation
    • Understanding complex organic chemistry
  • Conclusion

Also relevant/see:

  • How ‘Responsible AI’ Is Ethically Shaping Our Future — from learningsolutionsmag.com by Markus Bernhardt
    Excerpt:
    The PwC 2022 AI Business Survey finds that “AI success is becoming the rule, not the exception,” and, according to PwC US, published in the 2021 AI Predictions & 2021 Responsible AI Insights Report, “Responsible AI is the leading priority among industry leaders for AI applications in 2021, with emphasis on improving privacy, explainability, bias detection, and governance.”
  • Why you need an AI ethics committee — from enterprisersproject.com by Reid Blackman (requires providing email address to get the article)