Algorithms provide a good starting point for police reform, but not a panacea. When screening candidates for the police force of the future, for example, auditing for bias is not only helpful, it’s essential. Algorithms offer new possibilities to do this. Going beyond hiring decisions, data and behavioral science can be used to encourage people to be their best self. Even small details amongst environmental influences on behavior can make a difference. Properly regulated and scrutinised algorithms can help improve recruitment, retention and promotion. They can also help strengthen law enforcement itself and community engagement in policing, to everyone’s benefit. … More Reimagining Policing
It is tempting to justify contrasting standards with regard to public acceptance of nudges between developed and developing country contexts. This is a slippery slope that has, in the past, led to harmful interventions. As behavioural tools become more widely used there is a need to re-examine these issues. Public acceptance may seem like a difficult litmus test in some countries, but failure may simply indicate that policymakers are trying to change too much, too fast. Creating demand for behaviour change is an important first step. … More Nudge acceptance in Developing Countries: Ethical (or Unnecessary) Litmus Test?