Artificial Intelligence (AI) Ethics: 5 Questions CIOs Should Ask
The Enterprisers Project, October 5th, 2020
Liability, privacy, and other ethical quagmires await IT leaders applying artificial intelligence tools. Let's examine five areas that are sparking AI debates - and deserve special attention

"You may not realize it, but artificial intelligence (AI) is already enhancing our lives in a multitude of ways. AI systems already man our call centers, drive our cars, and take orders through kiosks at local fast food restaurants. In the days ahead, AI and machine learning will become a more prominent fixture, disrupting industries and extracting tediousness from our everyday lives. As we hand over larger chunks of our lives to the machines, we need to lift the hood to see what kind of ethics are driving them, and who is defining the rules of the road..."

Artificial intelligence and machine learning under utilized by companies

"There is no doubt that artificial intelligence (AI) and machine learning (ML) is becoming a hot topic within the fintech industry. At almost every seminar and conference, we are hearing about the rise of these emerging technologies and the potential they have to disrupt businesses.

It's clear that AI and ML is a blueprint within which the fintech industry is operating. However, what is apparent is that no matter how much fintechs bang the drum of the impact of AI on enterprises, it still remains underutilized by many companies due to their inability to visualize, integrate and adopt these new technologies..."

There's been a great deal of hype and excitement in the artificial intelligence (AI) world around a newly developed technology known as GPT-3

"Put simply; it's an AI that is better at creating content that has a language structure - human or machine language - than anything that has come before it.

GPT-3 has been created by OpenAI, a research business co-founded by Elon Musk and has been described as the most important and useful advance in AI for years.

But there's some confusion over exactly what it does (and indeed doesn't do), so here I will try and break it down into simple terms for any non-techy readers interested in understanding the fundamental principles behind it. I'll also cover some of the problems it raises, as well as why some people think its significance has been overinflated somewhat by hype..."

See all Archived IT - AI articles See all articles from this issue