What Could Possibly Go Wrong?

This chapter discusses the benefits, risks, and challenges of implementing Artificial Intelligence (AI). It emphasises the importance of data veracity and fidelity, and introduces the concepts of data veracity and fidelity. The author highlights the role of data scientists in managing data quality issues and the potential impact of data fidelity on AI results. The author also discusses the problem of unintended bias in AI systems and the need for wide, representative samples to ensure there is no bias in the training set. The author warns about the risks of over-dependency on AI systems and the challenges of committing to a specific AI technology. The chapter also explores potential nefarious uses of AI, including social engineering and data manipulation. The author concludes by emphasising the importance of awareness, education, and mitigation strategies to address the risks of AI.