Responsible AI at work: incorporating human values

In this chapter, we will discuss how to incorporate values into intelligent systems by presenting literature and state-of-the-art tools around three key challenges: i) recognizing which and whose values should be considered; ii) operationalizing values and actively including them into an intelligent system’s behavior; and iii) ensuring that not only the resulting system, but the design and deployment processes, as a whole, adhere to desirable values. When it comes to “AI at work,” each of these aspects is key for its advancement. Firstly, identifying relevant stakeholders and their values is fundamental for the adoption of modern technology into any organizational process. Secondly, operationalizing values into specific constraints and behaviors of intelligent systems increases trust, rendering interactions more efficient and safer, therefore helping these tools to fulfil their function seamlessly and empowering workers with the knowledge needed to adequately operate these systems. Finally, ensuring that design and deployment processes follow values such as transparency and responsibility is of great benefit for organizations and workers, allowing them to show due diligence, compliance to governance constraints, and auditability, which clarifies the allocation of responsibility and prevents disuse.