Researchers often talk about “auditing” and “reverse engineering” algorithms—activities requiring heavy data analysis. But algorithmic accountability reporting projects don’t have to be this way.

In his latest MadTech Sketch, Ciaran O'Kane fires up his trusted crayons to detail how custom algorithms and AI are ...

The problem is that some algorithms can replicate and exacerbate ... Automated systems can make processes more efficient and draw insights from vast amounts of data, but they may also fail to ...

Algorithms based on engagement (left ... Research on bridging-based ranking can draw on this, taking insights from conflict management in the physical world and translating them into digital systems.

Current engagement-based algorithms make predictions about which ... Research on bridging-based ranking can draw on this, taking insights from conflict management in the physical world and ...

This is where recommendation algorithms struggle most: they have to draw the most accurate conclusions possible based on sparse data. For example, to give User 1 a recommendation, you could try to ...