The Importance of Responsible AI Development

The Importance of Responsible AI Development

As artificial intelligence (AI) continues to shape and redefine industries across the globe, it is increasingly crucial for organisations to understand the importance of responsible AI. Organizations are deploying AI tools to automate business functions, develop AI software for broad market consumption and use AI-powered productivity tools to stay ahead of competitors. The growth of AI can cause a series of ethical concerns, privacy risks, and regulatory hurdles. The key is to be innovative while still being responsible to create a viable, responsible AI-powered world.

Why Responsible AI Matters

No longer is AI confined to sustainable technology laboratories; the technology is fully integrated into daily operations, from AI-powered chatbots conversing with customers to machine learning models floating down a logistic domain. With an increase in adoption of AI, we’ve also seen the need for developing AI responsibly and ensuring that it is fair, transparent and unbiased. If AI systems are created irresponsibly, they can further discrimination, infringe on privacy, and make different harmful decisions in relation to the consequences to the user or business.

Trust and Transparency

Trust is essential to the successful implementation of AI; companies must ensure that their AI systems behave in transparent and predictable ways. For instance, an AI that is used for lead generation may have been trained on biased data sources, and if so, it may subsequently restrict access to qualified prospects based on race, gender, or geography. Responsible developers will audit their data sources, continually test their models and make their decisions as understandable as possible.