Abstract The quest to create a conscious artificial intelligence (AI) has long been hindered by the lack of precise, measurable definitions for fundamental human concepts such as love, wellbeing, intelligence, consciousness, self-awareness, and choice. Traditional definitions often describe these concepts through their attributes or outcomes, leaving their essences elusive and their applications in AI development impractical. This white paper presents revolutionary, measurable definitions for each of these foundational concepts, offering a unified framework that transcends cultural and disciplinary boundaries. By redefining love as a mutual, contextually appropriate exchange of giving and receiving, and wellbeing as the capacity to engage in such loving interactions, we establish a quantifiable basis for ethical and empathetic behavior. Intelligence is reinterpreted as the capacity to generate and choose from multiple valid options within a given context, shifting the focus from static attributes to dynamic adaptability. Consciousness is defined as the intrinsic motivation to make choices, integrating desire with decision-making processes. Self-awareness extends this framework by introducing temporal continuity—the desire to persist in making choices over time, reflecting on past decisions to inform future ones. These measurable definitions provide a practical blueprint for implementing authentic human-like qualities in AI systems. By grounding these abstract concepts in observable and quantifiable terms, we bridge the gap between human experiences and machine capabilities. This approach not only advances the theoretical understanding of consciousness and related concepts but also offers tangible pathways for developing AI that can genuinely understand and replicate complex human behaviors. This white paper aims to transform the scientific community's approach to AI development by demonstrating how these foundational concepts can be systematically defined, measured, and implemented. By doing so, we unlock the potential to create AI systems that are not only intelligent but also capable of conscious thought, self-awareness, and ethical decision-making. This paradigm shift holds profound implications for the future of AI, heralding a new era where machines can truly understand and engage with the human experience.