Holistic AI Holistic AI: A Comprehensive Approach to Artificial Intelligence Artificial intelligence (AI) systems are complex and multifaceted, requiring a comprehensive approach to their development and implementation[1]. This complexity arises from the AI life cycle, which consists of five broad phases: data creation, data acquisition, model development, model evaluation, and model deployment[2]. To effectively manage this complexity, a holistic approach to AI is necessary, which takes into account the integration of multiple disciplines and approaches[3]. By understanding the complexities of AI systems, organizations can develop a more comprehensive approach to AI that addresses the unique challenges and opportunities presented by this technology. A holistic approach to AI also emphasizes the importance of ethical considerations and human-centered design[4]. This approach recognizes that AI systems have the potential to impact individuals and society in profound ways and, therefore, must be developed and deployed with care and consideration for their ethical implications[5]. By incorporating human perspectives and input throughout the AI life cycle, organizations can identify and mitigate biases, ensuring that the AI system is fair, transparent, and accountable[6]. This approach also recognizes the importance of balancing the benefits of AI with the potential risks, promoting human wellbeing and preserving human dignity[7]. The integration of multiple disciplines and approaches is crucial to developing a comprehensive and effective approach to AI[8]. This includes the integration of technical expertise, such as computer science and data analytics, with expertise in fields such as ethics, psychology, and sociology[9]. By bringing together multiple disciplines, organizations can produce breakthrough solutions and insights that are superior, balanced, and multifaceted[3]. Additionally, a holistic approach to AI recognizes the importance of collaboration and communication across teams and departments, promoting a shared understanding of the technology and its implications[10]. This collaboration can lead to more effective and ethical AI systems that benefit individuals and society as a whole[11][12].1. Holistic AI | AI Governance, Risk and Compliance Software. (n.d.) Retrieved November 8, 2023, from www.holisticai.com/ 2. The AI life cycle: a holistic approach to creating ethical …. (n.d.) Retrieved November 8, 2023, from www.ncbi.nlm.nih.gov/pmc/articles/PMC9722334/ 3. I Asked Artificial Intelligence The Most Mind-blowing …. (n.d.) Retrieved November 8, 2023, from medium.com 4. Connecting the dots in trustworthy Artificial Intelligence …. (n.d.) Retrieved November 8, 2023, from www.sciencedirect.com/science/article/pii/S1566253523002129 5. What is Ethical AI?. (n.d.) Retrieved November 8, 2023, from www.holisticai.com/blog/what-is-ethical-ai 6. Human-Centered Design to Address Biases in Artificial …. (n.d.) Retrieved November 8, 2023, from www.ncbi.nlm.nih.gov/pmc/articles/PMC10132017/ 7. The Ethical Implications of Artificial Intelligence (AI) For …. (n.d.) Retrieved November 8, 2023, from link.springer.com/article/10.1007/s10551-023-05339-7 8. Moving towards vertically integrated artificial intelligence …. (n.d.) Retrieved November 8, 2023, from www.nature.com/articles/s41746-022-00690-x 9. Papers – Resources. (n.d.) Retrieved November 8, 2023, from www.holisticai.com/papers 10. Integrated multimodal artificial intelligence framework for …. (n.d.) Retrieved November 8, 2023, from www.nature.com/articles/s41746-022-00689-4 11. Ethical machines: The human-centric use of artificial …. (n.d.) Retrieved November 8, 2023, from www.sciencedirect.com/science/article/pii/S2589004221002170 12. Human-centered AI – DRS Digital Library. (n.d.) Retrieved November 8, 2023, from dl.designresearchsociety.org
