Agentic AI

Below is the criteria for Global AI Awards in Agentic AI Category:

1. Design (25%)

• Quality and robustness of the agentic AI system architecture.
• Ability to perform autonomous reasoning, decision-making, and task execution.
• Ethical design ensuring safety, transparency, explainability, and adherence to legal and societal norms.
• Scalability and adaptability across environments, domains, and contexts.

2. Impact (35%)

• Demonstrated effectiveness in achieving autonomous objectives with minimal human oversight.
• Measurable benefits such as efficiency gains, error reduction, or enhanced decision-making.
• Contribution to advancing automation in industries such as robotics, logistics, finance, healthcare, or governance.
• Influence on redefining human–AI collaboration and autonomy standards.

3. Creativity (25%)

• Innovative approaches to enabling autonomous reasoning, goal-setting, and adaptive learning.
• Unique integration of AI domains such as NLP, computer vision, reinforcement learning, or multi-agent systems.
• Novel solutions for complex problem-solving or real-time adaptive behavior.
• Differentiation from conventional AI through capabilities for sustained autonomous operation.

4. Ease of Use (15%)

• Accessibility and control for developers, operators, and end-users.
• Clear interfaces for specifying goals, monitoring performance, and intervening when necessary.
• Low barriers to adoption and integration within existing systems.
• Transparency in the decision-making process and clear communication of limitations.