As the integration of AI into nearly every aspect of today’s businesses accelerates, organizations increasingly face the difficult challenge of ensuring responsible use of AI across their 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 deployment. Effective policies and strategies ultimately include a host of critical considerations around the data used in AI models and technologies, including accountability, transparency, accuracy, security, reliability, explainability, bias, fairness, privacy, and more.
Without effective responsible AI strategies, organizations risk a range of impacts to their operations and processes, from reputational and legal consequences to increased costs and slower time to market. While the need for responsible AI is clear, implementation is a challenge for most organizations as they strive to keep pace with a rapidly evolving market and stay ahead of evolving regulations that increasingly define the overall use of AI. To better understand these trends and challenges, TechTarget’s Enterprise Strategy Group surveyed 374 professionals from organizations across North America (the United States and Canada) involved in the strategy, decision-making, selection, deployment, and management of AI initiatives and projects.
