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However, we are moving on to our final phase of debate, which is a closing statement. So I would like to call upon the first speaker, affirmative side Chen Yujun, to give his closing statements on his team's arguments.
Okay, thank you, the host. The negative side emphasized that the visualization of costs may bring safety risk. As we have repeated so many times, we never deny the existence of risks. But should we abandon the digitalization of cars and reject it simply because of risk?
You emphasize that drivers may become too dependent on intelligent systems. However, even without these systems, there are still some drivers who violate traffic rules such as drunk drivers creating risks on the road at any time. So I would like to ask, is this a situation you see?
You emphasize that digitalized cars may violate personal privacy, but I would like to ask: just because data may be misused, should we completely give up its positive role in road safety, traffic efficiency and vehicle maintenance?
So I hope the negative side can reply directly to these questions. Today's debate is about whether the visualization of modern cars is more beneficial than risky. But in fact it is about how we should face a technological transformation that has already entered our daily life. Should we reject it simply because of risk, or should we manage those risks and make use of this value?
Now, I will restate our side argument one last time. First, the digitalization of cars improves road safety. Functions such as automated emergency braking, lane keeping and some electronic warnings can help drivers reduce human errors. When drivers who follow traffic rules use digitalized car technologies, the improvement in road safety is obvious.
Second, the digitalization of cars improves driving efficiency and convenience. Real-time navigation, smart parking and vehicle condition monitoring can make driving smarter and more efficient. These functions also make modern travel easier and more comfortable.
Third, the digitalization of cars promotes the future development of transportation system. Electric vehicles, intelligent transportation and driving assistance systems all rely on digital technologies. It is not only changing individual cars, but also changing the entire transportation system.
So finally, I want to emphasize that when modern society faces technological progress, the truly important question is not whether we can find a choice with no risks at all. The real question is whether we can manage the risks through rules, responsibility and technological improvements so that progress can serve human safety, efficiency and future life.
The digitalization of cars should neither be rejected out of fear nor worshipped blindly. Instead, we should promote it forward through government regulation and social improvement. Therefore, we firmly believe that the digitalization of modern cars is more beneficial than risky.
Thank you. Fantastic closing argument from the affirmative side.
However, we are moving on to our final phase of debate, which is a closing statement. So I would like to call upon the first speaker, affirmative side Chen Yujun, to give his closing statements on his team's arguments.
Okay, thank you, the host. The negative side emphasized that the visualization of costs may bring safety risk. As we have repeated so many times, we never deny the existence of risks. But should we abandon the digitalization of cars and reject it simply because of risk?
You emphasize that drivers may become too dependent on intelligent systems. However, even without these systems, there are still some drivers who violate traffic rules such as drunk drivers creating risks on the road at any time. So I would like to ask, is this a situation you see?
You emphasize that digitalized cars may violate personal privacy, but I would like to ask: just because data may be misused, should we completely give up its positive role in road safety, traffic efficiency and vehicle maintenance?
So I hope the negative side can reply directly to these questions. Today's debate is about whether the visualization of modern cars is more beneficial than risky. But in fact it is about how we should face a technological transformation that has already entered our daily life. Should we reject it simply because of risk, or should we manage those risks and make use of this value?
Now, I will restate our side argument one last time. First, the digitalization of cars improves road safety. Functions such as automated emergency braking, lane keeping and some electronic warnings can help drivers reduce human errors. When drivers who follow traffic rules use digitalized car technologies, the improvement in road safety is obvious.
Second, the digitalization of cars improves driving efficiency and convenience. Real-time navigation, smart parking and vehicle condition monitoring can make driving smarter and more efficient. These functions also make modern travel easier and more comfortable.
Third, the digitalization of cars promotes the future development of transportation system. Electric vehicles, intelligent transportation and driving assistance systems all rely on digital technologies. It is not only changing individual cars, but also changing the entire transportation system.
So finally, I want to emphasize that when modern society faces technological progress, the truly important question is not whether we can find a choice with no risks at all. The real question is whether we can manage the risks through rules, responsibility and technological improvements so that progress can serve human safety, efficiency and future life.
The digitalization of cars should neither be rejected out of fear nor worshipped blindly. Instead, we should promote it forward through government regulation and social improvement. Therefore, we firmly believe that the digitalization of modern cars is more beneficial than risky.
Thank you. Fantastic closing argument from the affirmative side.
以下为ai总结(感谢来自 刘圣韬 学长的精彩ai prompt!基座大模型为豆包。)
Actually, we agree with you that the software error may be more dangerous, but at the same time it can be monitored and detected and fixed more efficiently.
For example, if there are some mistakes in the additional cars, they usually need to be recorded physically. But if there are some mistakes in the digitalized cars, we only need to do some testing or validation and make some updates online. So in this sense it can be more efficient.
So the key is not assuming that the software is always perfect, we should do more validation and testing and make it clear who is responsible for it.
Thank you, and the same thing we'd like to ask.
Actually, we agree with you that the software error may be more dangerous, but at the same time it can be monitored and detected and fixed more efficiently.
For example, if there are some mistakes in the additional cars, they usually need to be recorded physically. But if there are some mistakes in the digitalized cars, we only need to do some testing or validation and make some updates online. So in this sense it can be more efficient.
So the key is not assuming that the software is always perfect, we should do more validation and testing and make it clear who is responsible for it.
Thank you, and the same thing we'd like to ask.
以下为ai总结(感谢来自 刘圣韬 学长的精彩ai prompt!基座大模型为豆包。)
Of course, we can also give affirmative answers. This is beneficial for us, so our position is clear today: digitalization for modern cars is more risky than beneficial.
We believe this problem cannot be properly solved. More software and sensors make vehicle repairs extremely complex. Car owners will be locked into expensive official maintenance channels, and ordinary mechanics cannot fix them. These hidden costs and troubles are exactly why smart cars carry greater risks nowadays.
Of course, we can also give affirmative answers. This is beneficial for us, so our position is clear today: digitalization for modern cars is more risky than beneficial.
We believe this problem cannot be properly solved. More software and sensors make vehicle repairs extremely complex. Car owners will be locked into expensive official maintenance channels, and ordinary mechanics cannot fix them. These hidden costs and troubles are exactly why smart cars carry greater risks nowadays.
以下为ai总结(感谢来自 刘圣韬 学长的精彩ai prompt!基座大模型为豆包。)
首先明确反方立场:现代汽车数字化弊大于利。接着提出核心论点:数字化导致车辆维修复杂度增加,具体表现为更多软件和传感器使维修变得极其复杂,车主将被锁定在昂贵的官方维修渠道,普通 mechanics 无法修复。最后指出这些隐藏成本和麻烦是当前智能汽车风险更大的原因。
Very good question. This is just like what the negative first speaker mentioned earlier regarding hackers. I think nowadays operating aircraft also relies on highly automated systems like this, especially in new-generation planes such as the Boeing 787 and Airbus A350. These types of planes use systems to control speed, flight posture, and other parameters and metrics.
I don't recall hearing about any accidents where someone hacked a plane, and the same applies to cars or electric vehicles. If cybersecurity plays a role in this field, I don't think this is a problem. Yes, that's it.
Thank you for this detailed and amazing answer. That brings us to the end of part two of our debate. Let's move on to section three, where we will open the floor to the audience.
Very good question. This is just like what the negative first speaker mentioned earlier regarding hackers. I think nowadays operating aircraft also relies on highly automated systems like this, especially in new-generation planes such as the Boeing 787 and Airbus A350. These types of planes use systems to control speed, flight posture, and other parameters and metrics.
I don't recall hearing about any accidents where someone hacked a plane, and the same applies to cars or electric vehicles. If cybersecurity plays a role in this field, I don't think this is a problem. Yes, that's it.
Thank you for this detailed and amazing answer. That brings us to the end of part two of our debate. Let's move on to section three, where we will open the floor to the audience.
以下为ai总结(感谢来自 刘圣韬 学长的精彩ai prompt!基座大模型为豆包。)
该环节主要围绕对方提出的关于黑客攻击风险的问题展开回应,通过类比新一代飞机(如波音787、空客A350)依赖高度自动化系统且未听闻黑客攻击导致事故的情况,来论证汽车或电动汽车领域若涉及网络安全也不会成为问题,最后结束该部分辩论并引导进入下一环节。
针对数字化成本带来的风险,我们并不否认隐私、网络安全和算法层面存在明确的风险,但核心问题并非风险为何存在,而是为何它们能够被管控,我们的立场是肯定的。
首先是隐私问题。隐私风险并非智能网联汽车所独有,几乎所有联网服务都存在这类风险。关键在于持续的数据最小化原则与问责机制。例如,通用汽车和安吉星的案例表明,当企业滥用数据时,会受到调查、处罚和限制。因此,解决方案是完善监管,而非否定智能网联汽车。
其次是网络安全问题。正如反方所指出的,网络攻击是真实存在的担忧,但相关风险已经通过一系列标准和规则得到应对,包括稳定的安全管理与软件更新要求。这意味着政府与行业正在构建体系以管控此类风险。
第三是算法层面的问题。软件故障确实可能发生,但可以通过测试、记录和在线更新来降低发生率。传统燃油汽车同样存在机械故障,但我们依然会驾驶它们。因此,我们应当做的是完善安全标准。
以上并非最终结论,真正的结论是……感谢各位。现在,我将邀请反方第三位发言人上台阐述其立场。
感谢。现在,我将邀请反方第三位发言人乔·罗丁(Joe Rodin)就该议题发表观点。
针对数字化成本带来的风险,我们并不否认隐私、网络安全和算法层面存在明确的风险,但核心问题并非风险为何存在,而是为何它们能够被管控,我们的立场是肯定的。
首先是隐私问题。隐私风险并非智能网联汽车所独有,几乎所有联网服务都存在这类风险。关键在于持续的数据最小化原则与问责机制。例如,通用汽车和安吉星的案例表明,当企业滥用数据时,会受到调查、处罚和限制。因此,解决方案是完善监管,而非否定智能网联汽车。
其次是网络安全问题。正如反方所指出的,网络攻击是真实存在的担忧,但相关风险已经通过一系列标准和规则得到应对,包括稳定的安全管理与软件更新要求。这意味着政府与行业正在构建体系以管控此类风险。
第三是算法层面的问题。软件故障确实可能发生,但可以通过测试、记录和在线更新来降低发生率。传统燃油汽车同样存在机械故障,但我们依然会驾驶它们。因此,我们应当做的是完善安全标准。
以上并非最终结论,真正的结论是……感谢各位。现在,我将邀请反方第三位发言人上台阐述其立场。
感谢。现在,我将邀请反方第三位发言人乔·罗丁(Joe Rodin)就该议题发表观点。
以下为ai总结(感谢来自 刘圣韬 学长的精彩ai prompt!基座大模型为豆包。)
When I reject the technology, we're rejecting rushing it. So we cannot fix human mistakes by creating new machine mistakes. What we should do is to improve our work. We need better testing and stricter regulations, and we should establish clear rules before putting these cars on the road. We cannot use ordinary people as test subjects.
Well, it seems that all our debaters are quite excited about this topic.
When I reject the technology, we're rejecting rushing it. So we cannot fix human mistakes by creating new machine mistakes. What we should do is to improve our work. We need better testing and stricter regulations, and we should establish clear rules before putting these cars on the road. We cannot use ordinary people as test subjects.
Well, it seems that all our debaters are quite excited about this topic.
以下为ai总结(感谢来自 刘圣韬 学长的精彩ai prompt!基座大模型为豆包。)
Thank you for your question, and that is exactly what we are emphasizing here.
So if digitalization, if civilization has risks, we can use measures like regularizations or algorithms to prevent them. The affirmative side compared it to airplanes: when airplanes first appeared, they also had risks. To avoid the technical risks of airplanes, we need pilots to receive four to five years of training, and we need the entire system to be more complex than any single engineer can fully comprehend.
But when it comes to the digitalization of vehicles, companies can spend about one and a half years developing a simple system to handle such risks.
That is not what we are asking for, and it is both very risky and beneficial.
Thank you for your question, and that is exactly what we are emphasizing here.
So if digitalization, if civilization has risks, we can use measures like regularizations or algorithms to prevent them. The affirmative side compared it to airplanes: when airplanes first appeared, they also had risks. To avoid the technical risks of airplanes, we need pilots to receive four to five years of training, and we need the entire system to be more complex than any single engineer can fully comprehend.
But when it comes to the digitalization of vehicles, companies can spend about one and a half years developing a simple system to handle such risks.
That is not what we are asking for, and it is both very risky and beneficial.
以下为ai总结(感谢来自 刘圣韬 学长的精彩ai prompt!基座大模型为豆包。)
I think this question, we should consider the special causes. If the driver misuses the system, then the driver is responsible, but if the company just exaggerates its function or there are some defects in the software system, then the company should be responsible.
Actually, the digitalized car has its own data recording function, which can help us more easily identify who is responsible for this traffic accident.
I think this question, we should consider the special causes. If the driver misuses the system, then the driver is responsible, but if the company just exaggerates its function or there are some defects in the software system, then the company should be responsible.
Actually, the digitalized car has its own data recording function, which can help us more easily identify who is responsible for this traffic accident.
以下为ai总结(感谢来自 刘圣韬 学长的精彩ai prompt!基座大模型为豆包。)
该环节主要讨论了交通事故责任划分应考虑的特殊原因,提出若司机误用系统则司机负责,若公司夸大功能或软件存在缺陷则公司负责;同时指出数字化汽车的数据记录功能有助于更易识别事故责任方。
Okay so I think the point is that when you click the great button on long legal documents, that it means that people truly know each lines on this files. I think the answer is not so the problem is that when like people do not truly understand what they agreed to so when they buy, when someone buys a car they do not expect that their driving behavior, their location data to be collected and possibly sold, and clicking agree on the long legal document doesn't automatically mean that they know what is happening.
So from an ethical perspective I think the transparency matters.
Ask the question now we have a special treat for this public debate because it's slightly longer!This public debate because it's slightly longer in the audience part which means.
Okay so I think the point is that when you click the great button on long legal documents, that it means that people truly know each lines on this files. I think the answer is not so the problem is that when like people do not truly understand what they agreed to so when they buy, when someone buys a car they do not expect that their driving behavior, their location data to be collected and possibly sold, and clicking agree on the long legal document doesn't automatically mean that they know what is happening.
So from an ethical perspective I think the transparency matters.
Ask the question now we have a special treat for this public debate because it's slightly longer!This public debate because it's slightly longer in the audience part which means.
以下为ai总结(感谢来自 刘圣韬 学长的精彩ai prompt!基座大模型为豆包。)
Unfortunately unlike the engineers here, my technological skills are very high. Welcome again to the 15th of 2026 public debate. My name is Eriojaya, I am an international master of finance student at Zhejiang University, International Business School, and today I will serve as your debate host.
The topic for today is: Is the digitalization of modern cars more beneficial than risky? Of course, we have our affirmative and negative teams. Let's not waste any more time and get started.
Unfortunately unlike the engineers here, my technological skills are very high. Welcome again to the 15th of 2026 public debate. My name is Eriojaya, I am an international master of finance student at Zhejiang University, International Business School, and today I will serve as your debate host.
The topic for today is: Is the digitalization of modern cars more beneficial than risky? Of course, we have our affirmative and negative teams. Let's not waste any more time and get started.
以下为ai总结(感谢来自 刘圣韬 学长的精彩ai prompt!基座大模型为豆包。)
<辩论主题> Is the digitalization of modern cars more beneficial than risky? </辩论主题> <辩论环节> self introduction </辩论环节> <辩论文本> Unfortunately unlike the engineers here, my technological skills are very high. Welcome again to the 15th of 2026 public debate. My name is Eriojaya, I am an international master of finance student at Zhejiang University, International Business School, and today I will serve as your debate host.
The topic for today is: Is the digitalization of modern cars more beneficial than risky? Of course, we have our affirmative and negative teams. Let's not waste any more time and get started. </辩论文本>
首先,我需要先梳理一下这段语音转写的错误,修正所有的同音、形近错误,然后合理分段,同时保留原意和专业术语。
首先,开头的主持部分: Foremost, I'd like to call upon the first speaker of the affirmative team longngbwen to stand up and give the introduction to our topic, please.
然后是正方一辩的发言: All right, thanks everyone. The digitalization of model cases is more beneficial than harmful. Let me define digitalization first. It's not just tax streams or warrant assistance. It means the integration of artificial intelligence in data, process connectivity and automation from anti-lock braking and electronic control to advanced driver assistance systems and vehicles, to everything in communication.
接下来分论点: So I will present three benefits. The first is safety. Most traffic accidents are caused by human error. Studies show that driver emergency assistance alone reduced rear-end collisions by 15%. Engineering leaders have an ethical duty to adopt technology that reduces harm.
然后第二个论点: The second is efficiency and environmental responsibility from digitalization. Optimized connected driving reduces idle time and emissions. Even for combustion engines, digital engine management can achieve 10%-15% better fuel efficiency. For electric vehicles, battery management and regenerative braking extend range and battery life.
第三个论点: The last is enhanced user accessibility. Updated maps and real-time traffic give drivers more information for better decisions, while over-the-air updates let vehicles improve over time. The so-called risk of overreliance is a matter of education and education delay.
最后总结和主持收尾: So let me conclude: digitalization brings greater safety, lower emissions, and the benefits clearly outweigh the risks. Thank you.
Great, thank you Bowen for the introduction. Let's.
哦不对,刚才修正了一些明显的错误,比如原文本里的datalta→data,antilobraing→anti-lock braking,vehicleq→vehicles,real end→rear-end,shows→show,digitestization→digitalization,combustion will→combustion engines,view in frchasing→fuel efficiency,bittertray→battery,braing→braking,battertray→battery,budgetd→updated,drives→drivers,AR updates letter decisions over the AR updates→over-the-air updates let vehicles improve over time,harm→reduces harm,more beneficial than risk→more beneficial than harmful。还有原文本里重复的“reduced real end collisionss by 15% and.Along reduced realend collisations by 15%”应该是口误重复,删掉重复的部分。还有“do in conclusion”改成“conclude”。
现在整理成规范的分段:
Foremost, I'd like to call upon the first speaker of the affirmative team longngbwen to stand up and give the introduction to our topic, please.
All right, thanks everyone. The digitalization of model cases is more beneficial than harmful. Let me define digitalization first. It's not just tax streams or warrant assistance. It means the integration of artificial intelligence in data, process connectivity and automation from anti-lock braking and electronic control to advanced driver assistance systems and vehicles, to everything in communication.
So I will present three benefits. The first is safety. Most traffic accidents are caused by human error. Studies show that driver emergency assistance alone reduced rear-end collisions by 15%. Engineering leaders have an ethical duty to adopt technology that reduces harm.
The second is efficiency and environmental responsibility from digitalization. Optimized connected driving reduces idle time and emissions. Even for combustion engines, digital engine management can achieve 10%-15% better fuel efficiency. For electric vehicles, battery management and regenerative braking extend range and battery life.
The last is enhanced user accessibility. Updated maps and real-time traffic give drivers more information for better decisions, while over-the-air updates let vehicles improve over time. The so-called risk of overreliance is a matter of education and awareness.
So let me conclude: digitalization brings greater safety, lower emissions, and the benefits clearly outweigh the risks. Thank you.
Great, thank you Bowen for the introduction. Let's.
等等,原文本里的“delay”应该是“awareness”?不对,原文本是“The socalled risk of overreliance is a matter of education and delay.” 应该保留原意,改成“The so-called risk of overreliance is a matter of education and delay.” 刚才的awareness是我加的,不对,要保真。还有原文本里的“Along reduced realend collisations by 15%”是口误重复,应该删掉,因为前面已经说了一次,所以修正为“Studies show that driver emergency assistance alone reduced rear-end collisions by 15%.” 原文本里的“tax streams or warrants assistance”应该是“tax streams or warrant assistance”,单数。还有“automachine”→“automation”。对的,刚才都修正了。
现在再调整得更通顺,同时完全保留原意:
Foremost, I'd like to call upon the first speaker of the affirmative team longngbwen to stand up and give the introduction to our topic, please.
All right, thanks everyone. The digitalization of model cases is more beneficial than harmful. Let me define digitalization first. It's not just tax streams or warrant assistance. It means the integration of artificial intelligence in data, process connectivity and automation from anti-lock braking and electronic control to advanced driver assistance systems and vehicles, to everything in communication.
So I will present three benefits. The first is safety. Most traffic accidents are caused by human error. Studies show that driver emergency assistance alone reduced rear-end collisions by 15%. Engineering leaders have an ethical duty to adopt technology that reduces harm.
The second is efficiency and environmental responsibility from digitalization. Optimized connected driving reduces idle time and emissions. Even for combustion engines, digital engine management can achieve 10%-15% better fuel efficiency. For electric vehicles, battery management and regenerative braking extend range and battery life.
The last is enhanced user accessibility. Updated maps and real-time traffic give drivers more information for better decisions, while over-the-air updates let vehicles improve over time. The so-called risk of overreliance is a matter of education and delay.
So let me conclude: digitalization brings greater safety, lower emissions, and the benefits clearly outweigh the risks. Thank you.
Great, thank you Bowen for the introduction. Let's.
对,这样就对了,没有添加额外的内容,只是修正了所有的拼写、同音错误,分段合理,保留了所有原意和专业术语。
首先,我需要先梳理一下这段语音转写的错误,修正所有的同音、形近错误,然后合理分段,同时保留原意和专业术语。
首先,开头的主持部分: Foremost, I'd like to call upon the first speaker of the affirmative team longngbwen to stand up and give the introduction to our topic, please.
然后是正方一辩的发言: All right, thanks everyone. The digitalization of model cases is more beneficial than harmful. Let me define digitalization first. It's not just tax streams or warrant assistance. It means the integration of artificial intelligence in data, process connectivity and automation from anti-lock braking and electronic control to advanced driver assistance systems and vehicles, to everything in communication.
接下来分论点: So I will present three benefits. The first is safety. Most traffic accidents are caused by human error. Studies show that driver emergency assistance alone reduced rear-end collisions by 15%. Engineering leaders have an ethical duty to adopt technology that reduces harm.
然后第二个论点: The second is efficiency and environmental responsibility from digitalization. Optimized connected driving reduces idle time and emissions. Even for combustion engines, digital engine management can achieve 10%-15% better fuel efficiency. For electric vehicles, battery management and regenerative braking extend range and battery life.
第三个论点: The last is enhanced user accessibility. Updated maps and real-time traffic give drivers more information for better decisions, while over-the-air updates let vehicles improve over time. The so-called risk of overreliance is a matter of education and education delay.
最后总结和主持收尾: So let me conclude: digitalization brings greater safety, lower emissions, and the benefits clearly outweigh the risks. Thank you.
Great, thank you Bowen for the introduction. Let's.
哦不对,刚才修正了一些明显的错误,比如原文本里的datalta→data,antilobraing→anti-lock braking,vehicleq→vehicles,real end→rear-end,shows→show,digitestization→digitalization,combustion will→combustion engines,view in frchasing→fuel efficiency,bittertray→battery,braing→braking,battertray→battery,budgetd→updated,drives→drivers,AR updates letter decisions over the AR updates→over-the-air updates let vehicles improve over time,harm→reduces harm,more beneficial than risk→more beneficial than harmful。还有原文本里重复的“reduced real end collisionss by 15% and.Along reduced realend collisations by 15%”应该是口误重复,删掉重复的部分。还有“do in conclusion”改成“conclude”。
现在整理成规范的分段:
Foremost, I'd like to call upon the first speaker of the affirmative team longngbwen to stand up and give the introduction to our topic, please.
All right, thanks everyone. The digitalization of model cases is more beneficial than harmful. Let me define digitalization first. It's not just tax streams or warrant assistance. It means the integration of artificial intelligence in data, process connectivity and automation from anti-lock braking and electronic control to advanced driver assistance systems and vehicles, to everything in communication.
So I will present three benefits. The first is safety. Most traffic accidents are caused by human error. Studies show that driver emergency assistance alone reduced rear-end collisions by 15%. Engineering leaders have an ethical duty to adopt technology that reduces harm.
The second is efficiency and environmental responsibility from digitalization. Optimized connected driving reduces idle time and emissions. Even for combustion engines, digital engine management can achieve 10%-15% better fuel efficiency. For electric vehicles, battery management and regenerative braking extend range and battery life.
The last is enhanced user accessibility. Updated maps and real-time traffic give drivers more information for better decisions, while over-the-air updates let vehicles improve over time. The so-called risk of overreliance is a matter of education and awareness.
So let me conclude: digitalization brings greater safety, lower emissions, and the benefits clearly outweigh the risks. Thank you.
Great, thank you Bowen for the introduction. Let's.
等等,原文本里的“delay”应该是“awareness”?不对,原文本是“The socalled risk of overreliance is a matter of education and delay.” 应该保留原意,改成“The so-called risk of overreliance is a matter of education and delay.” 刚才的awareness是我加的,不对,要保真。还有原文本里的“Along reduced realend collisations by 15%”是口误重复,应该删掉,因为前面已经说了一次,所以修正为“Studies show that driver emergency assistance alone reduced rear-end collisions by 15%.” 原文本里的“tax streams or warrants assistance”应该是“tax streams or warrant assistance”,单数。还有“automachine”→“automation”。对的,刚才都修正了。
现在再调整得更通顺,同时完全保留原意:
Foremost, I'd like to call upon the first speaker of the affirmative team longngbwen to stand up and give the introduction to our topic, please.
All right, thanks everyone. The digitalization of model cases is more beneficial than harmful. Let me define digitalization first. It's not just tax streams or warrant assistance. It means the integration of artificial intelligence in data, process connectivity and automation from anti-lock braking and electronic control to advanced driver assistance systems and vehicles, to everything in communication.
So I will present three benefits. The first is safety. Most traffic accidents are caused by human error. Studies show that driver emergency assistance alone reduced rear-end collisions by 15%. Engineering leaders have an ethical duty to adopt technology that reduces harm.
The second is efficiency and environmental responsibility from digitalization. Optimized connected driving reduces idle time and emissions. Even for combustion engines, digital engine management can achieve 10%-15% better fuel efficiency. For electric vehicles, battery management and regenerative braking extend range and battery life.
The last is enhanced user accessibility. Updated maps and real-time traffic give drivers more information for better decisions, while over-the-air updates let vehicles improve over time. The so-called risk of overreliance is a matter of education and delay.
So let me conclude: digitalization brings greater safety, lower emissions, and the benefits clearly outweigh the risks. Thank you.
Great, thank you Bowen for the introduction. Let's.
对,这样就对了,没有添加额外的内容,只是修正了所有的拼写、同音错误,分段合理,保留了所有原意和专业术语。
以下为ai总结(感谢来自 刘圣韬 学长的精彩ai prompt!基座大模型为豆包。)
Amative陈华,请上台。反方观点试图让我们相信,踏入数字化现代汽车,就等于将你的线路和数据交给恶意黑客或欺诈算法。他们聚焦于沃尔特事件。但作为正方二辩,我必须将这场辩论拉回现实:我们不能因为可控的风险,就放弃实际的日常生活。
让我直接回应对方的反对担忧。没错,网络安全和系统漏洞确实值得关注,但正如我方一辩明确阐述的,这些都是工程层面的挑战,已有现成解决方案,比如数据完整性和硬件隔离技术。我们不会因为飞机可能出现机械故障就禁止飞机,我们会对其进行工程优化。
反方不过是在借恐惧之名要求我们拒绝进步。但看看现状:超过90%的交通事故都是由人为失误、疲劳驾驶、分心驾驶或酒驾造成的。仅自动紧急制动一项,就能将追尾碰撞事故降低50%。反方如今却主张,我们应该接受每天因人为失误导致的数千人死亡,仅仅是为了避免可能发生的一起网络攻击。这不仅如我方一辩所说,是违法的,更是一种伦理上的失败。
此外,我想进一步深化我们关于无障碍性的论点。传统燃油汽车对使用者的身体能力要求很高,这将老年人排除在外。而通过自适应巡航控制和高级驾驶辅助系统实现的数字化,能让这些弱势群体重新获得出行的独立性。
数字化的风险确实存在,但它们与我们因此获得的收益相比,不值一提:减少人为失误带来的死亡、大幅降低排放、重塑出行 mobility(移动性),这些都是意义深远的改变。其带来的益处无疑远超风险。
感谢对方辩友,今天的发言到此为止。
Amative陈华,请上台。反方观点试图让我们相信,踏入数字化现代汽车,就等于将你的线路和数据交给恶意黑客或欺诈算法。他们聚焦于沃尔特事件。但作为正方二辩,我必须将这场辩论拉回现实:我们不能因为可控的风险,就放弃实际的日常生活。
让我直接回应对方的反对担忧。没错,网络安全和系统漏洞确实值得关注,但正如我方一辩明确阐述的,这些都是工程层面的挑战,已有现成解决方案,比如数据完整性和硬件隔离技术。我们不会因为飞机可能出现机械故障就禁止飞机,我们会对其进行工程优化。
反方不过是在借恐惧之名要求我们拒绝进步。但看看现状:超过90%的交通事故都是由人为失误、疲劳驾驶、分心驾驶或酒驾造成的。仅自动紧急制动一项,就能将追尾碰撞事故降低50%。反方如今却主张,我们应该接受每天因人为失误导致的数千人死亡,仅仅是为了避免可能发生的一起网络攻击。这不仅如我方一辩所说,是违法的,更是一种伦理上的失败。
此外,我想进一步深化我们关于无障碍性的论点。传统燃油汽车对使用者的身体能力要求很高,这将老年人排除在外。而通过自适应巡航控制和高级驾驶辅助系统实现的数字化,能让这些弱势群体重新获得出行的独立性。
数字化的风险确实存在,但它们与我们因此获得的收益相比,不值一提:减少人为失误带来的死亡、大幅降低排放、重塑出行 mobility(移动性),这些都是意义深远的改变。其带来的益处无疑远超风险。
感谢对方辩友,今天的发言到此为止。
以下为ai总结(感谢来自 刘圣韬 学长的精彩ai prompt!基座大模型为豆包。)
针对反方一辩的发言,我先说明一下:原始文本中存在较多语音转写错误和混乱的语序,以下是优化后的精准对话记录:
首先有请反方一辩发言。
To the second speaker of the first speaker of the negative side, Ye Jinjo, do you have any counterarguments or a different introduction to our argument?
Okay, thank you. Good afternoon, we are the affirmative side. Our position is clear today: the digitalization of modern cars is more risky than beneficial. The affirmative argues that features like Autopilot save lives, we agree, but this debate is about the entire digital system, not just one good feature. They ignore the massive new risks this whole system creates.
First, the affirmative plan over-relies on user education in engineering ethics, which is highly irresponsible. You cannot build a system that looks smart enough to trust, and then blame the driver when it inevitably fails. This is not a theoretical risk. In China, we have seen tragic consequences such as fatal highway accidents involving systems like NIO's NOP and Xiaopeng's NGP. Drivers engaged its partial automation, but the system failed to recognize stationary obstacles. The systems cannot even manage the danger they create.
Second, the affirmative called privacy risks manageable, are they manageable today? Look at our own market: in December 2022, NIO suffered a massive data breach, where hackers extorted the company for millions of dollars in Bitcoin. The stolen data include highly sensitive driver IDs, addresses and loan details. A modern car is now a rolling sensor that gathers your most private data, and clearly companies cannot fully protect it.
Finally, they praised over-the-air updates, but OTA creates severe governance risks. Software changes continuously after purchase. Just look at the official data: in 2024 alone, OTA-related vehicle records in China surge to over 4 million vehicles, a 246% increase.
The affirmative is dreaming of a perfect utopia when looking at the reality. Therefore, the risks currently outweigh the benefits.
嗯。Thank you very much. Now let's move on to the.
针对反方一辩的发言,我先说明一下:原始文本中存在较多语音转写错误和混乱的语序,以下是优化后的精准对话记录:
首先有请反方一辩发言。
To the second speaker of the first speaker of the negative side, Ye Jinjo, do you have any counterarguments or a different introduction to our argument?
Okay, thank you. Good afternoon, we are the affirmative side. Our position is clear today: the digitalization of modern cars is more risky than beneficial. The affirmative argues that features like Autopilot save lives, we agree, but this debate is about the entire digital system, not just one good feature. They ignore the massive new risks this whole system creates.
First, the affirmative plan over-relies on user education in engineering ethics, which is highly irresponsible. You cannot build a system that looks smart enough to trust, and then blame the driver when it inevitably fails. This is not a theoretical risk. In China, we have seen tragic consequences such as fatal highway accidents involving systems like NIO's NOP and Xiaopeng's NGP. Drivers engaged its partial automation, but the system failed to recognize stationary obstacles. The systems cannot even manage the danger they create.
Second, the affirmative called privacy risks manageable, are they manageable today? Look at our own market: in December 2022, NIO suffered a massive data breach, where hackers extorted the company for millions of dollars in Bitcoin. The stolen data include highly sensitive driver IDs, addresses and loan details. A modern car is now a rolling sensor that gathers your most private data, and clearly companies cannot fully protect it.
Finally, they praised over-the-air updates, but OTA creates severe governance risks. Software changes continuously after purchase. Just look at the official data: in 2024 alone, OTA-related vehicle records in China surge to over 4 million vehicles, a 246% increase.
The affirmative is dreaming of a perfect utopia when looking at the reality. Therefore, the risks currently outweigh the benefits.
嗯。Thank you very much. Now let's move on to the.
以下为ai总结(感谢来自 刘圣韬 学长的精彩ai prompt!基座大模型为豆包。)
Around two minutes, maybe not more if possible.
So now I'd like to call upon the second speaker, the negative side, Jun Hao.
Okay, so from a technical perspective, the key issue is clear: more software does not automatically mean more safety. A recent study released from July 2024 found little evidence that partial automation actually prevents crashes. Their conclusion was that partial automation currently looks more like a convenience feature than a real safety breakthrough.
Another analysis from March 2024 tested 14 partial automation systems, but only one system received an acceptable safeguard rating, while 11 were rated poor. This is important because it shows us that many systems do not do enough to prevent driver misuse or driver inattention.
This concern is not only theoretical. The US NTSB has highlighted fatal crashes connected to partial automation and pointed to problems such as weak driver monitoring, poor data recording and limits in system oversight.
And even NHTSA clearly says that Level 1 and Level 2 systems still require the driver to remain fully engaged and attentive. That creates a dangerous mismatch: the machine looks smart enough to trust, but humans are still expected to stay responsible all the time.
So from a technical point of view, today's digitalization often increases capacity faster than it increases true safety.
Now it's time to call upon the third speaker of the affirmative side.
Okay, thank you. And the third.
Around two minutes, maybe not more if possible.
So now I'd like to call upon the second speaker, the negative side, Jun Hao.
Okay, so from a technical perspective, the key issue is clear: more software does not automatically mean more safety. A recent study released from July 2024 found little evidence that partial automation actually prevents crashes. Their conclusion was that partial automation currently looks more like a convenience feature than a real safety breakthrough.
Another analysis from March 2024 tested 14 partial automation systems, but only one system received an acceptable safeguard rating, while 11 were rated poor. This is important because it shows us that many systems do not do enough to prevent driver misuse or driver inattention.
This concern is not only theoretical. The US NTSB has highlighted fatal crashes connected to partial automation and pointed to problems such as weak driver monitoring, poor data recording and limits in system oversight.
And even NHTSA clearly says that Level 1 and Level 2 systems still require the driver to remain fully engaged and attentive. That creates a dangerous mismatch: the machine looks smart enough to trust, but humans are still expected to stay responsible all the time.
So from a technical point of view, today's digitalization often increases capacity faster than it increases true safety.
Now it's time to call upon the third speaker of the affirmative side.
Okay, thank you. And the third.
以下为ai总结(感谢来自 刘圣韬 学长的精彩ai prompt!基座大模型为豆包。)
Thank you so much. From an ethical perspective, the biggest issue is data power without meaningful content. A very recent official case proved this on January 4, 2026: the US Federal Trade Commission finalized an order against GM and Allstar. The FTC stated that GM and Allstar collected, used and sold consumers' precise geolocation and driving behavior data from millions of vehicles, without adequately informing consumers or obtaining affirmative consent.
This matters because a modern digital car does not only move people—it also watches them, records them, and can monetize their behavior. In engineering, informed content is not optional. If users do not clearly understand what data is collected, how long it is stored, who receives it, and how it may affect insurance or other decisions, then the system is ethically weak even if it is technically impressive.
There is also a fairness issue with digital systems: increased repair complexity and calibration costs. IHS Research, published in February 2024, found that post-repair problems are more common than many people assume, especially after crash damage or windshield replacement. This means the hidden costs of digitalization are often pushed onto ordinary consumers.
So, our point is very simple: when a technology can track people, confuse users and shift hidden costs onto consumers, its risks outweigh its benefits.
That's all. Thank you, thank you to the first speaker of the negative side.
Thank you so much. From an ethical perspective, the biggest issue is data power without meaningful content. A very recent official case proved this on January 4, 2026: the US Federal Trade Commission finalized an order against GM and Allstar. The FTC stated that GM and Allstar collected, used and sold consumers' precise geolocation and driving behavior data from millions of vehicles, without adequately informing consumers or obtaining affirmative consent.
This matters because a modern digital car does not only move people—it also watches them, records them, and can monetize their behavior. In engineering, informed content is not optional. If users do not clearly understand what data is collected, how long it is stored, who receives it, and how it may affect insurance or other decisions, then the system is ethically weak even if it is technically impressive.
There is also a fairness issue with digital systems: increased repair complexity and calibration costs. IHS Research, published in February 2024, found that post-repair problems are more common than many people assume, especially after crash damage or windshield replacement. This means the hidden costs of digitalization are often pushed onto ordinary consumers.
So, our point is very simple: when a technology can track people, confuse users and shift hidden costs onto consumers, its risks outweigh its benefits.
That's all. Thank you, thank you to the first speaker of the negative side.
以下为ai总结(感谢来自 刘圣韬 学长的精彩ai prompt!基座大模型为豆包。)
感谢你的提问,我们的回答是:车辆自动化或数字化技术是否会阻碍人类的虹膜识别?
比如你酒驾时至少应该可以先饮酒,但如果在高速公路驾驶时分心看屏幕,就会更容易出事,对吧?未来我可能很容易被音乐或广告分散注意力,但我的观点是,车辆自动化技术会大幅提升人类分心驾驶的可能性,而非降低它。
感谢你的提问,我们的回答是:车辆自动化或数字化技术是否会阻碍人类的虹膜识别?
比如你酒驾时至少应该可以先饮酒,但如果在高速公路驾驶时分心看屏幕,就会更容易出事,对吧?未来我可能很容易被音乐或广告分散注意力,但我的观点是,车辆自动化技术会大幅提升人类分心驾驶的可能性,而非降低它。
以下为ai总结(感谢来自 刘圣韬 学长的精彩ai prompt!基座大模型为豆包。)
讨论了车辆自动化或数字化技术对驾驶注意力的影响,认为该技术会大幅提升人类分心驾驶的可能性,而非降低它,并举例说明在高速公路驾驶时分心看屏幕、被音乐或广告分散注意力等情况更容易导致事故。
Does the audience have a question for the affirmative side.
This now maybe you say to your speaks. Already you. Used tos.
Was the question clear enough? Please repeat your question, please shorten your question and make it clear for the.
So. So we need time.
Does the audience have a question for the affirmative side.
This now maybe you say to your speaks. Already you. Used tos.
Was the question clear enough? Please repeat your question, please shorten your question and make it clear for the.
So. So we need time.
以下为ai总结(感谢来自 刘圣韬 学长的精彩ai prompt!基座大模型为豆包。)
文本主要围绕观众对正方提问的处理展开,涉及对问题清晰度的反馈(要求重复、缩短并明确问题)以及需要时间来回应的表述。
Take it away.
Yes, locking heated seats behind a paywall is a capital business, and consumer protection losses should—and we believe we will—regularize such situations, but we cannot throw out the baby with the bathwater. You know, we can't ban the internet just because some websites ignore pay models, and that's the same as the heating issues you mentioned before.
We must regulate, we must regulate the billing department, but we absolutely must not halt the engineering department that is building collision voice assistance. Thank you.
Take it away.
Yes, locking heated seats behind a paywall is a capital business, and consumer protection losses should—and we believe we will—regularize such situations, but we cannot throw out the baby with the bathwater. You know, we can't ban the internet just because some websites ignore pay models, and that's the same as the heating issues you mentioned before.
We must regulate, we must regulate the billing department, but we absolutely must not halt the engineering department that is building collision voice assistance. Thank you.
以下为ai总结(感谢来自 刘圣韬 学长的精彩ai prompt!基座大模型为豆包。)