Things Go Wrong
sometimes,

Models perpetuate bias in their data
Societal biases and inequalities are recorded in data and passed on to algorithms. Products built with AI can echo or amplify discrimination, harming users and your business.

Regulatory and compliance risk is growing
The list of regulations for AI safety and ethics is a rapidly evolving patchwork of regional and sector-specific laws. Companies risk substantial financial penalties, potential litigation, and regulatory enforcement actions that can grind operations to a halt.

Misbehaving models undercut growth
When a model is unfair or unsafe, it harms your users, and it harms your business.

Trust is easy to lose
Misguided algorithms can land your company on the front page, and not in a good way. Users notice when algorithms act irresponsibly, and these failures can go viral.



