Understanding Trustworthy Artificial Intelligence: A Walkthrough of Assessment List for Trustworthy AI
Artificial Intelligence (AI) significantly impacts our world today, acting as a cutting-edge technology enabler in our daily lives. To facilitate safe, reliable interactions with these intelligent systems, developing an Assessment List for Trustworthy Artificial Intelligence becomes essential[1](https://www.nature.com/articles/s42256-019-0112-5). This list of considerations, embedded with complex features, provocatively enriches our understanding of AI trustworthiness[2](https://www.brookings.edu/research/why-its-important-to-understand-the-quality-of-your-ai-model/).
The Essence of AI and Trustworthy Artificial Intelligence
Before diving into the assessment list for trustworthy AI, let’s first understand what AI is. It signifies the simulation of human intelligence by machines, enabling capabilities of ‘thinking’ and ‘learning’[3](https://www.ibm.com/cloud/learn/what-is-artificial-intelligence) [4](https://www.britannica.com/technology/artificial-intelligence). Trustworthiness becomes a critical aspect in artificial intelligence to prevent rogue AI systems and guarantees secure interactions.
Key Factors in the Assessment List for Trustworthy AI
Transparency and Accountability in Trustworthy AI
In the context of a trustworthy AI assessment list, ‘Transparency’ suggests that AI operation and decision-making processes should be easily understandable to the users[5](https://www.turing.ac.uk/research/research-projects/trust-and-transparency-artificial-intelligence). Just as important is ‘Accountability’, which refers to responsibility assignment in AI’s operation and its repercussions for trust[6](https://www.pewresearch.org/internet/2019/10/28/who-should-be-in-charge-if-when-decisions-by-algorithms-go-wrong/).
Value Alignment and Robustness: Key in Trustworthy AI
The ‘Value alignment’ factor in the assessment list for trustworthy AI stipulates the AI system to align with user values, interests, thus building trust[7](https://jair.org/index.php/jair/article/view/11615). ‘Robustness’ emphasizes the AI’s capability to perform adequately under unexpected situations or incorrect inputs[8](https://deepmind.com/research/publications/Specification-gaming-examples-in-AI-and-Lessons-Learned).
Privacy: A Top Concern for Trustworthy AI
In an era of big data and pervasive AI, the ‘Privacy’ factor on any trustworthy AI assessment list is critical[9](https://www.tandfonline.com/doi/full/10.1080/20964471.2018.1476729). Trustworthy AI systems should prioritize user data privacy, ensuring environments where confidentiality remains intact[10](https://privacyinternational.org/explainer/4084/privacy-and-artificial-intelligence-explainer).
Building Trustworthy AI: A Balance of Technology and Empathy
Developing trustworthy AI demands a delicate balance of technological advancements with an empathetic human touch[11](https://www.springer.com/gp/book/9783642204282). Though it might seem daunting to develop an all-encompassing assessment list for trustworthy AI, this challenge promises a future where AI serves humanity, fulfilling its core function[12](https://www.wired.com/story/artificial-intelligence-seeks-an-ethical-conscience/). As the acclaimed writer Isaac Asimov said – “I do not fear computers. I fear the lack of them”. Let’s aim to create trusted AI systems, as our quest is to have technology serve us better.
