Today, artificial intelligence (AI) drives virtually everything we do online. Predictive algorithms recommend products and services, diagnose our health, translate our words and make calculations based on our previous behavior. They even determine what news we see and what content appears in our social media feeds (for better or worse).
The difference between AI and other decision technologies is that it 'learns'. And as AI becomes even more embedded in our lives, it will continue to become more autonomous , even acting without human supervision.
As the need for AI-based technologies increases, so does the pressure on organizations to remain competitive. The 'AI gun race' has never been more intense - not just to find out who can build the most sophisticated algorithms, but also to control attention. As the saying goes, "great power brings great responsibilities".
The question for many organizations is "how to ensure that AI models reflect their cultural and ethical values while staying ahead of the competition?" With companies being forced to migrate to AI quickly - and perhaps even faster than they should - that speed comes at a cost.
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The fight for social justice is at the forefront of the news. With the spotlight on situations of prejudice and discrimination, organizations that develop and use AI should do their best to eliminate prejudice (bias), explaining what decisions are made by their technology and taking responsibility if / when AI become dishonest.
As the role of technology has grown, the risks to security have shot up too. This is why companies are happy to pay handsomely for a Cyber Security Consultant to protect their business against those dangers.