The Ethics of Code: Developing AI for Business with Five Core Principles

Both industry and community must develop effective mechanisms to filter bias as well as negative sentiment in the data that AI learns from - ensuring AI does not perpetuate stereotypes. Users build a relationship with AI and start to trust it after just a few meaningful interactions. With trust, comes responsibility and AI needs to be held accountable for its actions and decisions, just like humans. Technology should not be allowed to become too clever to be accountable. We don't accept this kind of behaviour from other'expert' professions, so why should technology be the exception.