Ethical Considerations of AI Implementation in Business Planning: Ensuring Fairness and Transparency

The advent of widespread AI in the field of corporate planning has sparked a revolutionary shift, ushering in previously unimaginable possibilities for efficacy and data-driven decision-making. This evolution, however, is not without of moral consequences. Our increasingly AI-powered environment has elevated the need of considering the ethical implications of AI application in company strategy. Incorporating sophisticated fairness criteria, bias reduction strategies, transparency evaluations, and legal framework compliance, this study examines the varied terrain of AI ethics.The research shows that achieving justice and openness in AI systems requires constant juggling, with model accuracy typically taking a backseat. Concerns about potentially unfair AI-driven conclusions are met with effective solutions for bias reduction, such as reweighing and resampling. Improving AI model interpretability by feature-level transparency evaluation using SHAP values. Also, AI has been shown to be ethically and legally compliant, as shown by its high compliance ratings with legislation like the General Data Protection Regulation and the Equal Employment Opportunity Commission’s requirements.These results provide useful insights for corporate executives, legislators, and the general public as they pertain to using AI in an ethical manner. The full potential of AI may be realized by enterprises while maintaining ethical standards if the correct balance is struck between fairness and openness, investment is made in bias prevention, and regulatory compliance is encouraged. In this study, we focus on how artificial intelligence might be reimagined from its current state as a potentially biased and opaque planning tool to one that drives ethical excellence in corporate strategy.This study acts as a catalyst for change by advocating for ethical and responsible AI deployment, which in turn creates a climate in which judgments influenced by AI are more fair, open, and lawful. These findings will serve as a springboard for other studies and activities that will push for more ethical AI development and use in company strategy.