Artificial intelligence is transforming how traders analyze markets, manage risk, and execute strategies, but it is also redefining what human judgment means in the process. At BingX, one of the exchanges integrating AI into trading, this balance between automation and awareness has become a guiding principle.
In this conversation, Vivien Lin, Chief Product Officer at BingX, explains how the platform’s AI tools are designed to teach users critical thinking rather than blind reliance, the safeguards in place to ensure ethical and secure model behavior, and why emotional discipline and self-awareness remain a trader’s strongest edge in the age of AI.
AI is increasingly taking over execution, analysis, and risk monitoring. From your perspective, where does human judgment still matter most in trading, and where should it never be outsourced to AI?
AI can handle execution, data processing, and risk monitoring at a scale humans never could, but judgment still matters in the moments that require real context and self-awareness. Only the trader knows their true risk tolerance, their financial situation, and what outcome they are ultimately comfortable with.
Those decisions should never be outsourced, and traders should always keep in mind their goals and limits. AI can guide and inform, but the responsibility for deciding what is acceptable and what aligns with personal goals will always end with the human. Good trading is not only about precision it is also about understanding yourself.
BingX AI presents traders with strategy ideas and scenario forecasts. How do you design these features so that users learn to evaluate different outcomes instead of treating AI outputs as definitive calls?
A lot of our thinking for BingX AI actually comes from what we learned when we pioneered social trading. We saw millions of users study different leading traders, compare their styles, and choose those that matched how they wanted to think. It became clear that people learn best when they can see multiple approaches side by side and understand the reasoning behind each one.
When we built BingX AI, we wanted to take that same learning model and make it even more personal. So instead of giving one answer or pushing users toward a single action, the AI presents different scenarios, explains the logic behind each path, and shows how outcomes can shift under different market conditions. It is designed to evaluate levels of data that humans cannot physically process and teach users how to evaluate possibilities, not deliver a final verdict.
We believe humans still play a critical role that AI cannot replace. Only a person can sense their own risk comfort, interpret changing sentiment, or recognize when something does not feel right. BingX AI is built to support that human intuition, not override it. The goal is to elevate the trader’s judgment, not fully automate it.
Many exchanges race to deploy AI features quickly. What internal guardrails does BingX have in place to prevent algorithmic bias, unethical model behavior, or over-optimization that could put users at risk?
One advantage we have at BingX is experience since we have been building trading systems and risk frameworks for years, long before AI became the industry’s headline feature. That history gives us a very practical understanding of what users actually need and what keeps them safe. While the entire market is still learning where AI fits, we feel confident because we are not experimenting in the dark. We are applying AI inside an infrastructure that has already been tested, refined, and shaped by real user behavior.
On top of that foundation, we have strict guardrails for every AI feature we deploy. Our models go through multi-layer testing to check for bias, harmful patterns, and over-optimization we also have human teams supervising both performance and user impact. We also hold ourselves to the highest international security standards like achieving ISO/IEC 27001 certification which was a major milestone because it validates our entire approach to data protection, access control, incident response, and operational governance.
For us, AI is not a shortcut or a race and we are buildign with the mindset that the system should protect users, respect their choices, and behave ethically at every stage.
As AI becomes increasingly embedded in trading platforms, what ethical responsibilities do exchanges like BingX have to shape how users interact with automated systems?
As AI becomes even more deeply integrated into trading, exchanges have a responsibility to guide how people use it and not just how we build it. That means setting clear expectations about what AI can and cannot do, designing systems that encourage healthy decision making, and avoiding features that push users toward blind automation.
We believe AI should amplify human judgment, not replace it, so our job is to create tools that support learning, clarity, and responsible risk taking. Ethical design is not optional bit it is part of protecting users and shaping a trading environment that stays fair and trustworthy as the technology evolves.
Emotion is traditionally seen as a trader’s weakness. In your experience, which emotional or intuitive skills actually improve trading outcomes, even alongside advanced AI systems?
Emotion is often framed as a liability in trading, but some emotional and intuitive skills actually make people better decision makers. Discipline, patience, and self-awareness help traders recognize when a position no longer fits their goals or when they are reacting out of impulse instead of intention. These are human strengths that AI cannot replicate. AI can analyze data and outline scenarios, but it cannot feel hesitation, confidence, or discomfort, and it cannot sense when something does not align with your own risk comfort.
That is why emotional awareness becomes a skill you can train. When you use AI alongside a steady mindset, you learn to pause, evaluate, and stay in control rather than getting swept up in the moment. Emotion will always influence trading, but when you understand it and keep it in check, it becomes something that works with AI rather than against it. The strongest traders are the ones who balance both.
Looking ahead, how do you think traders’ roles will evolve over the next five years? Will they shift from being direct decision-makers to AI system curators?
Over the next five years, I believe the role of traders will become much more strategic and let me clarify what I mean by this.. AI will take on more of the computational work, but humans will guide the intent behind every decision. In that sense, traders will shift toward being curators and supervisors of AI systems, choosing which strategies to explore and setting the boundaries that reflect their personal goals and risk comfort.
With this considered, we will see a much clearer divide between what humans do well and what AI does well. AI will continue to excel at speed, pattern detection, and scenario modeling, but humans will remain stronger in judgment, intuition, and understanding emotional context. The industry is not just heading toward a future where machines trade against machines in isolation. If anything, this evolution will highlight the unique skills humans bring to the process when matched with powerful tools.
The traders who thrive will be the ones who know how to combine both sides, the precision and scale of AI with the awareness and discernment that only a human can provide. It will not become a purely AI-driven industry but a more collaborative one.
To close our conversation, with AI taking on a larger role in trading, what mindset should traders embrace to remain competitive while still staying responsible?
The mindset traders need to adopt is one that recognizes their own importance in the process. AI can level the playing field when it comes to data and research, but it is still the human who sets the direction, interprets the insights, and decides what actually aligns with their goals. When you combine that human intuition with the power of AI, you get a far stronger foundation than either one could offer alone.
Staying competitive means staying engaged, staying thoughtful, and using AI to expand your capabilities rather than replace your involvement. These tools are meant to empower your journey, not take it over. Traders who understand this balance will make better decisions, learn faster, and ultimately take advantage of opportunities that used to be out of reach.
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Source: https://finbold.com/vivien-lin-bingx/
