When People Must Reply Robust Questions About Information | by TDS Editors | Dec, 2023
Information science and machine studying professionals now how one can search solutions in knowledge: that’s most likely the central pillar of their work. Issues get murkier after we have a look at a few of the thornier points surrounding our knowledge, from its built-in biases to the methods it may be leveraged for questionable ends.
As we enter the ultimate stretch of the 12 months, we invite our readers to discover a few of these big-picture points which have sparked essential discussions lately, and are all however assured to proceed to form the sector in 2024 and past.
Our highlights this week dig right into a broad vary of subjects, from the character of data-backed information itself to its utility in particular fields like healthcare; we hope they encourage additional reflection and draw new members into these important conversations.
- What Role Should AI Play in Healthcare?
The biases we’ve lined so far can wreak havoc on fashions, companies, and backside traces. As Stephanie Kirmer stresses, although, they develop into much more acute in fields like healthcare, the place life-and-death conditions are widespread and “the dangers of failure are so catastrophic.” - A Requiem for the Transformer?
In a quickly altering area, it’s tempting to consider a 6-year-old idea as important and timeless. Transformers have been round since 2017 and have performed an vital function within the mainstream adoption of AI instruments; as Salvatore Raieli factors out, although, they too doubtless have a shelf life, and it’s maybe time to ask what comes subsequent.
