Across
- 3. Lack of transparency in AI systems
- 4. Making ethical decisions and potentially being held accountable
- 9. Allows enterprises to predict future trends
- 13. Minimizing the environmental impact of AI systems
- 17. Comparing input with predefined pattern
- 19. Identifying who is responsible for AI-driven decisions
- 22. Discovers frequent and meaningful similarities
- 23. Making decisions without direct human intervention
Down
- 1. Ensuring AI systems align with human values
- 2. Reduces the number of stored templates
- 5. AI systems pushes to guide user behavior
- 6. Facts to decision
- 7. Layman connects with expert system through
- 8. Discriminate based on race, gender, age,etc.
- 10. Removing noise from image
- 11. Ensure AI systems are protected from misuse or malicious attacks
- 12. Principles and guidelines that govern AI Usage
- 14. Systems difficult to maintain
- 15. Creating legal and ethical frameworks for AI systems
- 16. Result of targeted advertising by AI systems
- 18. Component of expert system
- 20. Promote social welfare and reduce inequalities.
- 21. Protecting personal data