Amid the breakneck pace of AI integration into nearly every facet of today’s businesses, organizations increasingly face the difficult challenge of ensuring responsible AI use across their entire ecosystems. Creating robust, comprehensive policies that ensure AI technologies are developed and used ethically and responsibly is now a top priority, even for organizations still in the early stages of AI deployments. Effective policies and strategies ultimately comprise a host of crucial considerations with data used in AI models and technologies, including accountability, transparency, accuracy, security, reliability, explainability, bias, fairness, privacy, and others.
Without effective responsible AI strategies, organizations risk numerous impacts to their businesses and processes, ranging from reputational damage and legal consequences to increased costs and slower time to market. While the need for responsible AI is clear, execution is a challenging endeavor for most organizations as they work to keep pace with a fast-moving market, as well as stay ahead of evolving regulations that increasingly define the overall use of AI. To gain further insight into these trends and challenges, TechTarget’s Enterprise Strategy Group surveyed 374 professionals at organizations in North America (US and Canada) involved in the strategy, decision-making, selection, deployment, and management of artificial intelligence initiatives and projects.
