AI Ethics and Policing
AI ethics is a discipline which examines the ethical ramifications and responsibilities associated with artificial intelligence (AI) technologies. This field seeks to ensure that AI systems are designed and used in ways which respect human values, rights, dignity, transparency, fairness, accountability, privacy, safety and security measures as well as human oversight. Its key principles aim to prevent bias and discrimination, protect personal data and making AI systems transparent, accountable and safe.
In this section we examine policing’s current and future use of AI through an ethical lense. Unsurprisingly, this topic raises multiple considerations. To prevent unfair treatment of individuals or groups for instance, AI tools should be thoroughly scrutinized for any possible biases that might exist in predictive policing algorithms or facial recognition systems. Furthermore, there should be transparency and accountability regarding AI use by the police - with clear policies and oversight mechanisms. And, any surveillance and data analysis using AI must respect privacy rights while adhering to legal standards.
Ensuring human oversight in AI-assisted policing is crucially important since human judgment remains key in making decisions with empathy and respect for individual rights. For example, AI usage should only be employed where proportionate or necessary and any excessive or intrusive measures should be avoided. These subjective determinations must be made by humans. Adherence to AI ethics principles allows policing to use these technologies responsibly to enhance police effectiveness, empathy and a sense of justice. In this way policing can uphold its broader ethical standards and maintain the public trust and confidence.
Digital Trust: Why it should matter to policing
Digital trust is becoming more important each day. But in the future, the trust and confidence people have in the police will be directly connected to the level of digital trust people place in policing.