The AI revolution in science

By T. Appenzeller. 2017

22 citations recorded by the source corpus.

Subfields: Management Information Systems, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Information Systems

1. Effy Vayena
2. Madalina Busuioc
3. Marcello Ienca
4. Anna Jobin

In Molecular Biology

1. Effy Vayena
2. Madalina Busuioc
3. Marcello Ienca
4. Anna Jobin

Citations in the corpus

• The global landscape of AI ethics guidelines (2019, background): “If specified, the preservation and promotion of justice are proposed to be pursued through: (1) technical solutions such as standards67,85,106 or explicit normative encoding45,54,60,84; (2) transparency71,79, notably by providing information53,55,96 and raising public awareness of existing rights an”
• Accountable Artificial Intelligence: Holding Algorithms to Account (2020, background): “…systems based on artificial intelligence (AI) are undoubtedly associated with tremendous technological innovation, and are foreshadowed “to supercharge the process of discovery” (Appenzeller 2017), the examples above underscore the importance of oversight of AI algorithmic decision-making.”