This chapter explores AI’s potential consciousness, distinguishing it from human consciousness and addressing concerns about unintentionally creating conscious AI. The "Hard Problem of Consciousness" examines challenges in understanding how systems generate consciousness. "Strong AI" and "weak AI" concepts are introduced, envisioning AI replicating human functions, including consciousness. The chapter explores artificial consciousness’s significance in human–AI interactions, attachment, and ethical considerations, addressing potential risks and implications. Later sections cover consciousness aspects such as self-awareness, subjectivity, memory, anticipation, learning, perception, time awareness, cognition, reflection, intentionality, emotion, empathy, dreaming, and imagination. It navigates the intersection of AI, consciousness, and ethical and legal implications, discussing challenges and testing approaches like the Turing test, the Argonov test, the ConsScale test, the emotional response test, the ethical decision-making test, the mirror test, the global workspace test, and the know thyself test. The chapter suggests that AI consciousness may not be binary but could exist in varying degrees.