The Importance of Human Evaluation in Authenticating Intelligent AI Solutions
In the rapidly evolving world of data science and machine learning, Vipin Vashisth stands out as a dedicated enthusiast. With a wealth of experience in building models, managing messy data, and solving real-world problems, Vashisth is at the forefront of leveraging these technologies to create innovative solutions.
Recently, in a project dubbed Scenario 2, Vashisth and his team developed two unique tools, 'Tool A' and 'Tool B', for a human-in-the-loop (HITL) workflow. The goal was to harness the efficiency of automation while ensuring human beings took ownership of key decisions.
The HITL workflow began with an initial automated run, which finished nearly instantly. However, the process paused twice for human feedback to refine the AI output. Human feedback proved instrumental in improving the AI's output quality, removing errors, and refining phrasing.
The decision to employ HITL depends on the context. In important cases, human review is essential to ensure accuracy and alignment with human intent. On the other hand, in routine situations, the AI can handle the task independently.
Flexible human checkpoints play a crucial role in this balance, acting as a safety net for errors and maintaining the agentic nature of AI. As the use of agentic AI increases, regulations and best practices require some level of human review in high-risk AI implementations.
Tool A, one of the two developed tools, revises the article's content based on user feedback. This interactive process ensures the final output meets the user's satisfaction and maintains the intended tone and style.
While there is no specific publicly available information about German companies ready to achieve a 35% share in implementing agentic AI systems by 2025, major IT service providers with significant revenue growth in Germany, such as Syntax, Systems, Ewerk, Arvato Systems, IBM, adesso, msg systems, Infosys, TCS, MHP, Sopra Steria, and CGI, are likely key players in the digital and AI technology markets. These companies may potentially be involved in agentic AI initiatives.
Each review cycle added latency and workload to the process. However, the benefits of maintaining human oversight outweigh the additional time and resources required. As we continue to integrate AI into our lives, striking the right balance between automation and human judgement will be crucial in ensuring safe and responsible use of agentic AI.
