Ethical risk has become a major concern for companies as they integrate artificial intelligence (AI) into their business models. While AI brings the possibility of improved decision-making based on data, it also brings the potential for unintended harm.
This briefing explains the unique challenges of AI risk management and issues to consider at the design stage. Using a data-centric approach to AI, it covers:
- What to ask when evaluating data to train your AI model
- How to guard against the risk of bias by understanding your data
- How to ensure that technical choices are influenced by ethical principles
Join the conversation about responsible AI in business by downloading your copy of Why Ethics Must Shape AI Design.