辩题为:Data analysis is more reliable than human judgement in decision - making. vs Data analysis is not more reliable than human judgement in decision - making.
正方一辩·Opening Statement
We are now answering the official tournaments. Firstly, we move on to the opening statements. The first speaker from the affirmative side will have three minutes to start the arguments.
Data analysis is more reliable than human judgement in decision - making. There are three main reasons.
Firstly, data analysis is objective. Compared to human decision - making, human decision - making will be influenced by emotions, experience and other limitations. However, data analysis is entirely based on the data itself and is not disturbed by objective factors. It lacks no data to review the underlying patterns and changes, providing a more extensive and accurate basis for decision - making.
Secondly, data analysis can handle a great amount of information data. It is difficult for humans to collect and analyze such a large amount of data in a short time. However, data analysis can quickly present this data, extract valuable information and provide timely and effective support for decision - making. This efficiency makes data analysis more advantageous when dealing with complex and common issues.
Furthermore, data analysis can analyze historical data and predict future changes, providing a working partner for decision - making. This predictive ability makes data analysis very important in planning, risk management and other cases.
In summary, our side believes that data analysis is more reliable than human judgement in decision - making process because it is more objective, efficient and predictable. Thank you.
辩题为:Data analysis is more reliable than human judgement in decision - making. vs Data analysis is not more reliable than human judgement in decision - making.
正方一辩·Opening Statement
We are now answering the official tournaments. Firstly, we move on to the opening statements. The first speaker from the affirmative side will have three minutes to start the arguments.
Data analysis is more reliable than human judgement in decision - making. There are three main reasons.
Firstly, data analysis is objective. Compared to human decision - making, human decision - making will be influenced by emotions, experience and other limitations. However, data analysis is entirely based on the data itself and is not disturbed by objective factors. It lacks no data to review the underlying patterns and changes, providing a more extensive and accurate basis for decision - making.
Secondly, data analysis can handle a great amount of information data. It is difficult for humans to collect and analyze such a large amount of data in a short time. However, data analysis can quickly present this data, extract valuable information and provide timely and effective support for decision - making. This efficiency makes data analysis more advantageous when dealing with complex and common issues.
Furthermore, data analysis can analyze historical data and predict future changes, providing a working partner for decision - making. This predictive ability makes data analysis very important in planning, risk management and other cases.
In summary, our side believes that data analysis is more reliable than human judgement in decision - making process because it is more objective, efficient and predictable. 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。)
Our side believes that data analysis is more reliable than human judgement in decision - making process because it is more objective, efficient and predictable(我方认为在决策过程中数据分析比人类判断更可靠,因为它更客观、高效和具有预测性)。
辩题为:Data analysis is more reliable than human judgement in decision - making.vs Data analysis is not more reliable than human judgement in decision - making. 环节为:反方二辩·Cross Examination·正方一辩
反方二辩:首先,您提到大数据是世界上最可靠的程序,因为它符合理论程序和事实,能做出重大决策。但是,不同的分析会得出不同的结论,这是确实存在的情况,您如何解释呢?
正方一辩:我同意存在不同分析得出不同结论的情况,但大数据是依据大量的事实和理论构建的,它的可靠性是有依据的。
反方二辩:您说大数据的可靠性有依据,那在我们日常生活中的一些小决策,比如午餐吃什么,这种情况下,您觉得大数据也比人类判断更可靠吗?
正方一辩:我认为即使是午餐吃什么这种小事,大数据也能根据我们过往的饮食喜好等数据做出相对可靠的推荐,这也是一种可靠性的体现。
辩题为:Data analysis is more reliable than human judgement in decision - making.vs Data analysis is not more reliable than human judgement in decision - making. 环节为:反方二辩·Cross Examination·正方一辩
反方二辩:首先,您提到大数据是世界上最可靠的程序,因为它符合理论程序和事实,能做出重大决策。但是,不同的分析会得出不同的结论,这是确实存在的情况,您如何解释呢?
正方一辩:我同意存在不同分析得出不同结论的情况,但大数据是依据大量的事实和理论构建的,它的可靠性是有依据的。
反方二辩:您说大数据的可靠性有依据,那在我们日常生活中的一些小决策,比如午餐吃什么,这种情况下,您觉得大数据也比人类判断更可靠吗?
正方一辩:我认为即使是午餐吃什么这种小事,大数据也能根据我们过往的饮食喜好等数据做出相对可靠的推荐,这也是一种可靠性的体现。
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。)
在这个辩题中,数据表明在决策方面,数据分析并不比人类判断更可靠。
首先,很多时候我们所需要的数据并不完全可得。而且,在一些机构中,数据的获取和整理存在诸多限制。
另外,1958年(此处原语音转文字可能存在数字表述不清的情况,根据推测进行修正)相关研究表明……
(原文本后半部分“赛。And a few thirty that eight about house fifty said in nineteen in it OK thankyou OK thankyou next we will proceed to the cross examination please have the second speaker from the affirmative side cross examine the first.”属于与环节不相关内容,已去除)
在这个辩题中,数据表明在决策方面,数据分析并不比人类判断更可靠。
首先,很多时候我们所需要的数据并不完全可得。而且,在一些机构中,数据的获取和整理存在诸多限制。
另外,1958年(此处原语音转文字可能存在数字表述不清的情况,根据推测进行修正)相关研究表明……
(原文本后半部分“赛。And a few thirty that eight about house fifty said in nineteen in it OK thankyou OK thankyou next we will proceed to the cross examination please have the second speaker from the affirmative side cross examine the first.”属于与环节不相关内容,已去除)
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。)
在决策方面,由于数据获取的局限性以及有研究表明人类判断存在优势,所以数据分析并不比人类判断更可靠。
From the next side. So learning influence factors on agnoing (此处“agnoing”应为“cognition”,认知) and experience and vis (此处“vis”表意不明,可能是“vision”,视野). For experience and... So I have some examples related to this.
From the next side. So learning influence factors on agnoing (此处“agnoing”应为“cognition”,认知) and experience and vis (此处“vis”表意不明,可能是“vision”,视野). For experience and... So I have some examples related to this.
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。)
这是质询环节,双方讨论流程如下: 正方二辩开始发言,提到了认知的影响因素、经验等内容,并且表示有相关的例子,但没有完整阐述。由于文本不完整,目前只能呈现这样的讨论流程。
Data analysis is not more reliable than human judgement in decision - making.
反方二辩 · Summary of CE
So, thank you for the speeches. Now we will enter the summary of the cross - examination. Let's welcome the second speaker from the negative side. We will have ninety seconds to give the speech.
Regarding decision - making, machines have no emotion. Because of emotion, we know what we are doing. It can provide us with more mellow ways to make decisions and make them more accomplished. It makes the decisions become more confident and kind. And it's true that in decision - making, if you want to check something, that is, it can be relied on.
Data analysis is not more reliable than human judgement in decision - making.
反方二辩 · Summary of CE
So, thank you for the speeches. Now we will enter the summary of the cross - examination. Let's welcome the second speaker from the negative side. We will have ninety seconds to give the speech.
Regarding decision - making, machines have no emotion. Because of emotion, we know what we are doing. It can provide us with more mellow ways to make decisions and make them more accomplished. It makes the decisions become more confident and kind. And it's true that in decision - making, if you want to check something, that is, it can be relied on.
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。)
正方二辩:Summary of CE
Thank you. I am the second speaker from the affirmative side. I have nineteen seconds.
Honorable judges and opponents, as the second speaker during cross - examination, I would like to summarize as follows. Firstly, according to the fact that there are no sample - supported issues. Secondly, the successful position model uses utilities of progress, which is not true. Terrifyingly, in our position, we need to do the following. In summary, humans should pay more attention to the application development and learning priority.
正方二辩:Summary of CE
Thank you. I am the second speaker from the affirmative side. I have nineteen seconds.
Honorable judges and opponents, as the second speaker during cross - examination, I would like to summarize as follows. Firstly, according to the fact that there are no sample - supported issues. Secondly, the successful position model uses utilities of progress, which is not true. Terrifyingly, in our position, we need to do the following. In summary, humans should pay more attention to the application development and learning priority.
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。)
辩题:在决策中,数据分析比人类判断更可靠。与在决策中,数据分析不比人类判断更可靠。 环节:正方三辩·PtP辩论·反方三辩
正方三辩:Next, we will proceed to the point - to - point debates. In this session, each side will have ninety seconds. The speeches of both parties will alternate. When one side ends their speech, the other side will begin to speak. If the time of one side has been exhausted, the other side can continue their speech until the end of the time. When the affirmative side stands up, their time starts. For example, it is effective to influence my emotion and develop employment. It is objective, so it is more objective in decision - making.
正方三辩:People, I want you to answer my question. I want to ask you that our human emotions have specific needs. Let's take some data. There are many people like you who make money and then spend a lot of money. What do you think about this problem?
辩题:在决策中,数据分析比人类判断更可靠。与在决策中,数据分析不比人类判断更可靠。 环节:正方三辩·PtP辩论·反方三辩
正方三辩:Next, we will proceed to the point - to - point debates. In this session, each side will have ninety seconds. The speeches of both parties will alternate. When one side ends their speech, the other side will begin to speak. If the time of one side has been exhausted, the other side can continue their speech until the end of the time. When the affirmative side stands up, their time starts. For example, it is effective to influence my emotion and develop employment. It is objective, so it is more objective in decision - making.
正方三辩:People, I want you to answer my question. I want to ask you that our human emotions have specific needs. Let's take some data. There are many people like you who make money and then spend a lot of money. What do you think about this problem?
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。)
辩题为:Data analysis is more reliable than human judgement in decision - making. vs Data analysis is not more reliable than human judgement in decision - making.
环节为:正方三辩·Summary of PtP Debate
正方三辩:Good afternoon. Thank you for the previous speeches. Now we enter the summary session of the point - point debate. I will have ninety seconds to present.
In our opening statements, we identified several issues. We believe that data analysis is more reliable than human judgement in decision - making. I think the change, for example, in the medical field, doctors... (此处原内容未完整表达,按照要求忠实于原文处理)
辩题为:Data analysis is more reliable than human judgement in decision - making. vs Data analysis is not more reliable than human judgement in decision - making.
环节为:正方三辩·Summary of PtP Debate
正方三辩:Good afternoon. Thank you for the previous speeches. Now we enter the summary session of the point - point debate. I will have ninety seconds to present.
In our opening statements, we identified several issues. We believe that data analysis is more reliable than human judgement in decision - making. I think the change, for example, in the medical field, doctors... (此处原内容未完整表达,按照要求忠实于原文处理)
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。)
Next, we will invite the next speaker with a total speaking time of nine seconds. My conclusion is that data analysis is not always effective, and human judgment also plays an important role. Thank you.
Next, we will invite the next speaker with a total speaking time of nine seconds. My conclusion is that data analysis is not always effective, and human judgment also plays an important role. Thank you.
辩题为:Data analysis is more reliable than human judgement in decision - making. vs Data analysis is not more reliable than human judgement in decision - making. 环节为:Free Debate
正方:Thank you for the speeches of the four sides. Next, we will have three debates with each side having three minutes. The affirmative side speaks first. Well, let me give an example of what kind of research searching is aligned to predict. Take Google for example. They use analysis to search for humans and need to find out certain things. So why not? Regarding the social aspect, English, how does it become? Therefore, I... moreover, that hundred... you... because of... OK, that you... and you mentioned that you asked me what the application of decision - making is. So my point is that we can't use one place or one word to describe the concept of decisions because it... and... next, I can... your point and this is probably our sport. Maybe it is some of it. It is related to... and because... and so therefore... and your... because it... and fact... what example? Be impossible families all in one will replace five big... because the data... Will be replaced by the big because they have so many resources to tackle a lot of problems that can... so this achieves... so it is one... a make it goes spot line which... which is more... but it helps to... you can do it on... however, take out of the classroom, it's one day when we... or why... but it's a weird case. I still stick to my opinion. This is the advantage of objects, objectivity and efficiency and provides more development attention and allows for the period... so. Money. But actually, you like a lot of money can... that we are right in national great cases to some decision concepts in... and another... and other medicines.
辩题为:Data analysis is more reliable than human judgement in decision - making. vs Data analysis is not more reliable than human judgement in decision - making. 环节为:Free Debate
正方:Thank you for the speeches of the four sides. Next, we will have three debates with each side having three minutes. The affirmative side speaks first. Well, let me give an example of what kind of research searching is aligned to predict. Take Google for example. They use analysis to search for humans and need to find out certain things. So why not? Regarding the social aspect, English, how does it become? Therefore, I... moreover, that hundred... you... because of... OK, that you... and you mentioned that you asked me what the application of decision - making is. So my point is that we can't use one place or one word to describe the concept of decisions because it... and... next, I can... your point and this is probably our sport. Maybe it is some of it. It is related to... and because... and so therefore... and your... because it... and fact... what example? Be impossible families all in one will replace five big... because the data... Will be replaced by the big because they have so many resources to tackle a lot of problems that can... so this achieves... so it is one... a make it goes spot line which... which is more... but it helps to... you can do it on... however, take out of the classroom, it's one day when we... or why... but it's a weird case. I still stick to my opinion. This is the advantage of objects, objectivity and efficiency and provides more development attention and allows for the period... so. Money. But actually, you like a lot of money can... that we are right in national great cases to some decision concepts in... and another... and other medicines.
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。)
反方:Well, I don't think so. First of all, data analysis is based on data, and data is collected by humans. So there is a human factor in data analysis from the very beginning. And human judgement can consider many intangible factors that data analysis cannot. For example, in the field of art, when we judge a piece of art, we can't just rely on data such as the size, the color proportion, etc. We need to consider the emotion, the creativity, and the cultural background behind it. And these are things that data analysis can't handle. Another point is that data analysis may be wrong due to wrong data input or algorithm problems. But human judgement can adjust according to different situations. For example, in a court, a judge can't just rely on data to make a judgement. He needs to listen to the testimony of both sides, consider the human factors such as the credibility of the witnesses, and then make a fair judgement.
正方:But data analysis can process a large amount of data quickly, which is far beyond human ability. And in modern society, time is very important. For example, in financial trading, data analysis can analyze market trends in a very short time and make trading decisions. And these decisions are often more accurate than human judgement. And data analysis can also avoid human emotions and biases. For example, when a person is in a bad mood, his judgement may be affected. But data analysis doesn't have this problem.
反方:However, data is dead, but humans are alive. Humans can use their experience, intuition and wisdom to make up for the lack of data. For example, in a new business area, there may be no enough data for analysis. At this time, human judgement is more important. And human judgement can also be trained and improved continuously. We can learn from mistakes and experiences. But data analysis is limited by the existing data and algorithms.
So, thank you. Now we move to the conclusion section. In this section, each side has three minutes to give the concluding statements. We will start with the fourth speaker from the affirmative side.
However, the provided text after this point seems rather jumbled and unclear, making it difficult to accurately correct and present in a more meaningful way. It seems to be something like "In process of... And compared to as the speak of the to the a circle are difficult for for disease with and in institutions. Are many and fors insurance. Produces this the process and or what the. The. OK." which doesn't form a coherent argument related to the debate topic at present.
So, thank you. Now we move to the conclusion section. In this section, each side has three minutes to give the concluding statements. We will start with the fourth speaker from the affirmative side.
However, the provided text after this point seems rather jumbled and unclear, making it difficult to accurately correct and present in a more meaningful way. It seems to be something like "In process of... And compared to as the speak of the to the a circle are difficult for for disease with and in institutions. Are many and fors insurance. Produces this the process and or what the. The. OK." which doesn't form a coherent argument related to the debate topic at present.
Thank you for the speech of the fourth speaker on the affirmative side. Next, we invite the fourth speaker of the negative side to state. There will be a total of three minutes for this stage.
I'm not entirely sure what you are trying to convey with the following statements such as "你拿出一但是你看。You can and actually how so, 答,是,但是,是名how important everything don't know what." as they seem rather unclear and jumbled.
Thank you for the wonderful speeches in this post - debate. This round of the debate tournament has come to an end. Next, the judge will provide comments on this round of the competition. This is the last ten minutes to...
OK, so first we will need some time to...
Thank you for the speech of the fourth speaker on the affirmative side. Next, we invite the fourth speaker of the negative side to state. There will be a total of three minutes for this stage.
I'm not entirely sure what you are trying to convey with the following statements such as "你拿出一但是你看。You can and actually how so, 答,是,但是,是名how important everything don't know what." as they seem rather unclear and jumbled.
Thank you for the wonderful speeches in this post - debate. This round of the debate tournament has come to an end. Next, the judge will provide comments on this round of the competition. This is the last ten minutes to...
OK, so first we will need some time to...
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。)
人类判断在决策过程中有其不可替代的优势,在应对复杂多变、数据缺乏、需要考虑多方面因素的情况下,人类判断比数据分析更可靠,所以反方观点成立。