The right to the protection of personal data, whether as a standalone right or as an extension of the right to privacy, has gained much significance with advancements in technology. Consent with regard to the collection and processing of one's personal data is a crucial aspect of data protection. Consent represents an agreement on the part of the data subject authorising the collection and processing of the subject's personal data. A necessary corollary to consent is transparency in how the data subject's personal data will be used and processed. Without transparency, consent cannot be obtained in any real sense. Importantly, laws that protect privacy and personal data must ensure that entities responsible for collecting and processing personal data are held accountable to meet the requisite consent and transparency standards. However, artificial intelligence (AI) and the Internet of Things (IoT) have rapidly shifted us away from a model of one-to-one transactions to a one-to-many model in a completely automated environment. This transformation has made it exceptionally challenging to maintain a clear understanding of consent and transparency within this new environment. In this chapter, we explore this challenge with the hope of suggesting how the design and use of products, services, and applications that communicate with one another, incorporating automated technologies that function with little or no human intervention, could better address our expectations of consent and transparency with regard to the collection and processing of personal data.