Angie Jones on AI, Ethics, Adaptation & MCP at Selenium & Appium Conference

About The Video

Join 𝐀𝐧𝐠𝐢𝐞 𝐉𝐨𝐧𝐞𝐬 as she shares powerful perspectives on the limitations of AI, ethical responsibilities in implementation, and how testers can embrace innovations like the Model Context Protocol (MCP) at Selenium and Appium Conference.

Learn why adapting to AI isn't optional—and how those who leverage it can lead the charge in their industries. A must-watch for anyone in tech, testing, or innovation-driven roles.

Key Takeaways

AI Limitations:

AI can assist greatly in automation, but it cannot completely solve problems on its own. Human intervention is essential to guide AI and ensure that it performs tasks as intended, rather than relying on it as a catch-all solution.

Ethical Concerns in AI Implementation:

When implementing AI, especially in sensitive fields like healthcare or finance, protecting customer data and ensuring the ethical use of AI are paramount. AI should be used responsibly to avoid malicious uses and to safeguard systems from bad actors.

Model Context Protocol (MCP) in Testing:

Angie is a strong advocate for Model Context Protocol (MCP), a protocol that simplifies and enhances the capabilities of test automation. It allows for better integration of tools like Selenium and GitHub, and can automate workflows beyond just test scripts, offering greater insights into data and customer interactions.

Adapting to AI:

In the face of rapid technological advancements, Angie stresses the importance of adapting to AI. She shares an example of a colleague who uses AI to work more efficiently, freeing up time for other tasks. She encourages others to embrace AI to stay competitive in their careers and advance in their professional journeys.