identifying and addressing ai governance gaps
"Identifying and addressing AI governance gaps" refers to the process of recognizing and dealing with the areas where there are shortcomings in the establishment of rules, policies, and regulations for the responsible and ethical use of artificial intelligence (AI) technologies and systems. This involves recognizing the gaps in current governance frameworks and taking steps to fill these loopholes by proposing, developing, and implementing necessary measures, guidelines, and standards to mitigate potential risks and ensure the fair and accountable deployment of AI.
Requires login.
Related Concepts (1)
Similar Concepts
- accountability and responsibility in ai decision-making processes
- accountability and transparency in ai
- bias and fairness in ai governance
- data governance in the context of ai
- ensuring ai systems align with human values and goals
- ethical considerations in ai governance
- intellectual property and patents in ai governance
- international collaboration in ai governance
- privacy concerns in ai governance
- public awareness and education about ai control challenges
- regulation and governance of ai control
- regulation and governance of ai technology
- regulatory frameworks for ai governance
- security risks and cybersecurity in ai governance
- transparency and accountability in ai governance