The rapid advancement of Artificial Intelligence (AI) has led to the emergence of an advanced interdisciplinary field known as Quantum Artificial Intelligence (Quantum AI). This field integrates principles of quantum computing with machine learning algorithms to enhance computational efficiency and solve complex problems beyond classical capabilities. Quantum computing relies on quantum bits (qubits), which exploit superposition and entanglement to process multiple states simultaneously. These properties enable exponential speed-ups in optimization, classification, and simulation tasks, particularly in healthcare, finance, and cybersecurity applications. Despite the transformative potential of AI, one of the most critical challenges remains algorithmic bias. Bias often arises from imbalanced datasets or flawed modeling assumptions, leading to unfair or discriminatory outcomes. Detecting bias in AI models has therefore become a significant research focus. Statistical fairness metrics, explainable AI techniques, and model auditing frameworks are increasingly used to evaluate transparency and ensure equitable decision-making. Responsible AI development requires continuous validation using diverse datasets and fairness-aware performance indicators. Another foundational pillar in AI development is data engineering. Data engineering encompasses data collection, cleaning, transformation, storage, and pipeline automation to ensure that AI systems are trained on high-quality and well-structured data. Without robust data pipelines and scalable architectures, even the most advanced algorithms may fail to deliver reliable results. Modern AI systems depend heavily on big data infrastructures, cloud-based processing, and automated workflows to maintain efficiency and reproducibility. The integration of Quantum AI, bias detection mechanisms, and advanced data engineering represents a strategic pathway toward building intelligent systems that are not only powerful but also fair, transparent, and trustworthy. Academic institutions and AI departments play a crucial role in advancing research in these domains to promote sustainable technological innovation. Al-Mustaqbal University is ranked first among Iraqi private universities.