Over the past two decades, technology has transformed our world and our workplaces. COVID-19 has only accelerated the implementation of technological change and innovation by employers. One significant development in the workplace is the introduction of artificial intelligence ("AI"), which includes technologies such as automated decision making ("ADM") and machine learning ("ML"). In light of these capabilities, it is wise for employers to stay abreast of the latest developments and opportunities – being an early adopter of new technology can often mean saved costs and a competitive advantage. Nonetheless, it is equally important for employers to be aware of the ethical and legal risks associated with these technologies, as a relatively recent and rapidly evolving phenomenon.
Decades of research in artificial intelligence (AI) have produced formidable technologies that are providing immense benefit to industry, government, and society. AI systems can now translate across multiple languages, identify objects in images and video, streamline manufacturing processes, and control cars. The deployment of AI systems has not only created a trillion-dollar industry that is projected to quadruple in three years, but has also exposed the need to make AI systems fair, explainable, trustworthy, and secure. Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in meaningful communication, and improving their awareness through experience. Achieving the full potential of AI technologies poses research challenges that require a radical transformation of the AI research enterprise, facilitated by significant and sustained investment. These are the major recommendations of a recent community effort coordinated by the Computing Community Consortium and the Association for the Advancement of Artificial Intelligence to formulate a Roadmap for AI research and development over the next two decades.