1. Increased focus on transparency and accountability in AI systems to ensure ethical decision-making.
2. Rise of AI ethics officers within organizations to oversee the ethical implications of AI technologies.
3. Implementation of bias detection and mitigation tools to address algorithmic biases in AI systems.
4. Growing demand for AI explainability to understand how AI arrives at its decisions and recommendations.
5. Adoption of diverse and inclusive datasets to reduce biases and promote fairness in AI applications.
6. Development of AI regulations and standards to govern the ethical use of AI technologies in various industries.