Ethical Principles

• Responsible data collection - the United States hasn't passed comprehensive federal privacy laws regulating how companies collect and sell consumer data. As a result, many people don't realize that their personal information has been tracked and used for commercial purposes.
• Data privacy - once businesses collect data, they are ethically - and, in many cases, legally - obligated to keep this information confidential. Some companies have established data ethics boards that include a chief privacy officer. These boards can implement - wide policies to protect data.
• Data security - is a fundamental aspect of data ethics in business analytics.
• Accountability and transparency - companies can build brand loyalty and increase trust by being transparent about their data usage. Businesses can utilize data responsibly by disclosing how they use it to understand and meet consumers' needs. Accountability is another essential part of data ethics, companies behave ethically by informing consumers if data leaks occur and taking steps to fix the situation.
• Algorithmic fairness and bias detection - researchers have discovered that AI algorithms and other data analytics tools can unintentionally perpetuate biases. One study reported that algorithms used to calculate mortgage credit risk consistently charged higher interest rates for Black and Hispanic borrowers.