Bias is a Technology Risk

Technology has been biased for centuries, or so admits the chief scientist for Artificial Intelligence (AI) at Google, Fei-Fei Li.  She cites scissors as an example – their design represents a bias against the 10-15% of the population who are left-handed.  The problem with artificial intelligence is that the bias is hidden away, and even the researchers who train AI systems  often cannot understand how their charges reached their conclusion.  This may be worrying when AI systems are used for medical diagnoses and financial decisions; and that presents future risks around how those areas might be regulated.  The data used to train AI systems is never neutral and it can continue and even worsen the bias.  If an HR selection system looks at historical data on what makes a successful CEO of a company, it might conclude that white males are most likely to succeed owing to the predominance of white males in the sample.  It would then make a decision on that basis/bias

Artificial Intelligence is estimated to contribute up to $15.7 trillion per annum to the global economy by 2030, a figure greater than the combined GDPs of China and India, so it might be worth figuring out how to manage some of the risks it brings with it.

 

Source:  Fortune magazine

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

%d bloggers like this:
search previous next tag category expand menu location phone mail time cart zoom edit close