000 02391 a2200265 4500
005 20250922165537.0
008 241211b |||||||| |||| 00| 0 eng d
020 _a9781032124841
041 _aeng
082 _a006.3
_bHasA
100 _aHastings, Janna
245 _aAI for Scientific Discovery /
_cJanna Hastings
260 _aBoca Raton:
_bCRC Press;
_c©2023
300 _axiii, 119p.
440 _aAI for Everything
505 _aPreface. Acknowledgements. About the Author. 1 Introduction: AI and the Digital Revolution in Science. 2 AI for Managing Scientific Literature and Evidence. 3 AI for Data Interpretation. 4 AI for Reproducible Research. 5 Limitations of AI and Strategies for Combating Bias. 6 Conclusion: AI and the Future of Scientific Discovery. Index.
520 _aAI for Scientific Discovery provides an accessible introduction to the wide-ranging applications of artificial intelligence (AI) technologies in scientific research and discovery across the full breadth of scientific disciplines. AI technologies support discovery science in multiple ways. They support literature management and synthesis, allowing the wealth of what has already been discovered and reported on to be integrated and easily accessed. They play a central role in data analysis and interpretation in the context of what is called ‘data science’. AI is also helping to combat the reproducibility crisis in scientific research by underpinning the discovery process with AI-enabled standards and pipelines and supporting the management of large-scale data and knowledge resources so that they can be shared and integrated and serve as a background ‘knowledge ecosystem’ into which new discoveries can be embedded. However, there are limitations to what AI can achieve and its outputs can be biased and confounded and thus should not be blindly trusted. The latest generation of hybrid and ‘human-in-the-loop’ AI technologies have as their objective a balance between human inputs and insights and the power of number-crunching and statistical inference at a massive scale that AI technologies are best at.
650 _aArtificial Intelligence
650 _aRobotics Computation
650 _aHuman Computer Interaction
650 _aSocial Impact of Computing & IT on Society
650 _aGeneral Computing
650 _aAlgorithms and Complexity
942 _cBK
999 _c7173
_d7173