Human-like machines: Transparency and comprehensibility.

Artificial intelligence algorithms seek inspiration from human cognitive systems in areas where humans outperform machines. But on what level should algorithms try to approximate human cognition? We argue that human-like machines should be designed to make decisions in transparent and comprehensible ways, which can be achieved by accurately mirroring human cognitive processes.

Another rescue mission: Does it make sense?

Two misguided ideas dominate philosophical thinking on moral responsibility: (1) the idea that it obviously exists, and (2) the idea that even if it does not, it is nevertheless needed for the society to function properly. In his book, Doris (2015b) discusses the first illusion, while uncritically accepting the second. In this commentary, I question the utility of such endeavors.