Responsible AI

The digital landscape has undergone significant transformations since the early to mid-2000s. 

From the advent of the Internet and big-tech social media, to machine learning and artificial intelligence (AI), technological innovation and digital interconnectedness have exploded, fundamentally changing information creation, sharing, and consumption. While these systems provide undeniable benefits, strategies to mitigate AI risks, such as the spread of misinformation, data privacy concerns, and psychological impact, are required. It’s possible that the output of flawed algorithms and biased data sets used to construct AI models can produce direct harm and have negative, unintended consequences for individuals, populations, and societies. Solving these issues requires new thinking in AI risk management.

In this white paper, learn how you can manage the risks that arise from AI deployment.