Ethical AI and automation

But ethical questions abound, including about the prevalence of bias within the programming of algorithms and how they can quickly give results that appear statistically rigorous but ethically and morally unconscionable. It's a very difficult path to tread, but one that these insights can help you navigate.

The briefing covers the following topics:

• High-profile examples of when ethics in AI has become a public relations disaster
• Ways in which organisations can check for bias as they evolve their algorithm
• When big data isn't necessarily good or intelligent data