AI Predictive Algorithm Misunderstandings
This is a news story, published by ScienceDaily, that relates primarily to Jürgen Bajorath news.
Jürgen Bajorath news
For more Jürgen Bajorath news, you can click here:
more Jürgen Bajorath newsNews about Ai research
For more Ai research news, you can click here:
more Ai research newsScienceDaily news
For more news from ScienceDaily, you can click here:
more news from ScienceDailyAbout the Otherweb
Otherweb, Inc is a public benefit corporation, dedicated to improving the quality of news people consume. We are non-partisan, junk-free, and ad-free. We use artificial intelligence (AI) to remove junk from your news feed, and allow you to select the best tech news, business news, entertainment news, and much more. If you like this article about Ai research, you might also like this article about
AI results. We are dedicated to bringing you the highest-quality news, junk-free and ad-free, about your favorite topics. Please come every day to read the latest AI research news, Current AI models news, news about Ai research, and other high-quality news about any topic that interests you. We are working hard to create the best news aggregator on the web, and to put you in control of your news feed - whether you choose to read the latest news through our website, our news app, or our daily newsletter - all free!
explainable AI methodsScienceDaily
•Technology
Technology
How can science benefit from AI? Risks?
75% Informative
A publication by the University of Bonn warns of misunderstandings in handling artificial intelligence.
Researchers from chemistry, biology, and medicine are increasingly turning to AI models to develop new hypotheses.
It is often unclear on which basis the algorithms come to their conclusions and to what extent they can be generalized.
Adaptive machine learning algorithms are incredibly powerful.
Jürgen Bajorath warns against over-interpreting the AI results in the search for scientifically plausible causal relationships.
Such tests are time-consuming and expensive, he says.
Adaptive algorithms fundamentally have the potential to substantially advance research in many areas of science.
VR Score
84
Informative language
89
Neutral language
38
Article tone
informal
Language
English
Language complexity
63
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
no external sources
Source diversity
no sources
Affiliate links
no affiliate links