# A Systematic Review of Responsible Artificial Intelligence Principles and Practice
## 7 Finding 5: Principles of Responsible AI
### Socially Beneficial  
The socially beneficial principle highlights the requirement of AI systems to have advantages for society, which should significantly outweigh the anticipated risks and disadvantages [96]. This means that AI should not only avoid causing harm or negative consequences but should positively contribute to the well-being of individuals and communities in society [71; 74].  
[PERSON] et al. [58] present the social responsibility of AI through a hierarchical pyramid with four layers of responsibilities. At the foundation lies functional responsibilities, where AI must perform in a manner consistent with operating efficiency and key performance indicators. The second layer consists of legal responsibilities, requiring AI to operate within regulatory frameworks. Ethical responsibilities form the third layer, obligating AI to do what is right, fair, and just while preventing harm. At the top are philanthropic responsibilities, where AI should act as a good citizen by addressing broader societal challenges such as climate change and public health. This framework helps reconcile different obligations while emphasizing that AI should fulfill all components in the pyramid simultaneously.  
AI systems should be developed and deployed to address critical societal challenges such as poverty, hunger, inequality, climate change, and public health [58]. The equitable distribution of AI benefits across society becomes significant [71], ensuring that technological advancements do not exacerbate existing social disparities. This includes proactive measures to mitigate negative consequences, such as economic disparities and job displacement [74; 80]. The implementation of socially beneficial AI requires various strategies. Organizations must develop and implement ethical AI frameworks that prioritize fairness, transparency, accountability, and human autonomy [71; 74; 80]. Collaboration among technologists, policymakers, ethicists, and the public helps incorporate diverse perspectives and ensure AI aligns with societal values [74; 80]. Investment in reskilling and upskilling initiatives becomes necessary to support individuals in the AI-driven economy [71; 80]. AI applications can help discover and correct biases, minimize discrimination, and enhance outcomes for underrepresented people [71]. Data-driven insights from AI can assist governments and institutions in creating evidence-based policies that promote inclusivity and fairness [71]. By analyzing multiple perspectives and prioritizing representation in decision-making processes, AI can promote fairer policies and a more inclusive society [71]. The socially beneficial principle plays an important role in promoting AI applications that provide fair and positive outcomes for diverse groups within society, ensuring that technological advancements in AI contribute to social development and address societal challenges responsibly. This aspect of responsible AI is vital to align AI developments with human values, inclusivity, and the betterment of society as a whole while maintaining public trust and acceptance of AI technologies [74].