presumably

简明释义

英[prɪˈzjuːməbli]美[prɪˈzuːməbli]

adv. 大概，可能

英英释义

单词用法

同义词

反义词

例句

1.We find out presumably what justice is.

我们约略了解到正义为何。

2.These textbooks are, on the whole, small, presumably inexpensive to produce, but well set out and logically developed.

总体来说，这些教科书很小，成本应该也不高，但是内容陈述恰当，具有逻辑性。

3.Well, presumably.

好了，想必。

4.Logically we should learn about things before doing them and that is presumably why the experts enforce this in our educational system.

从逻辑上讲，我们应该在做事之前先了解清楚，这大概就是专家们在我们的教育体系中强制推行这一做法的原因。

5.I thought salaries were high there, but there would be some French benefits presumably.

我原以为那里的工资很高，不过大概是因为有一些法国的福利吧。

6.You'll be taking the car, presumably?

想必您是要买这辆汽车了？

7.He didn't reply to my message, so he is presumably 大概 busy with work.

他没有回复我的信息，所以他<被认为>大概<忙于工作。

8.The weather forecast predicts rain, so we should presumably 大概 take an umbrella.

天气预报预测会下雨，所以我们<被认为>大概<应该带把伞。

9.She has been studying hard, and presumably 大概 she will pass the exam.

她一直在努力学习，<被认为>大概<她会通过考试。

10.She is not at her desk, so she is presumably 大概 in a meeting.

她不在桌子旁，所以她<被认为>大概<在开会。

11.The package arrived late, which presumably 大概 means it got held up in transit.

包裹晚到了，这<被认为>大概<意味着它在运输过程中被耽搁了。

作文

In today's fast-paced world, technology has become an integral part of our daily lives. We rely on various gadgets and applications to make our tasks easier and more efficient. One of the most significant advancements in recent years is the rise of artificial intelligence (AI). AI has transformed industries, from healthcare to finance, and has changed the way we interact with machines. However, the rapid development of AI also raises several ethical concerns that need to be addressed. Presumably (据推测), many people believe that AI will eventually surpass human intelligence, leading to a future where machines could potentially make decisions for us. This idea can be both exciting and frightening at the same time. On one hand, the benefits of AI are undeniable. For instance, in the medical field, AI algorithms can analyze vast amounts of data to identify patterns and predict patient outcomes. This can lead to earlier diagnoses and more personalized treatment plans. Presumably (据推测), this technology could save countless lives and improve the quality of care patients receive. Similarly, in the finance sector, AI can help detect fraudulent activities by analyzing transaction patterns much faster than a human could. This not only protects consumers but also enhances the overall security of financial systems.However, the potential risks associated with AI cannot be overlooked. As machines become more autonomous, there is a growing concern over accountability. If an AI system makes a mistake, who is responsible? Presumably (据推测), many would argue that the creators of the technology should be held accountable, but the reality is often more complex. Additionally, there are fears that AI could lead to job displacement as automation takes over tasks traditionally performed by humans. While some jobs may evolve, presumably (据推测), many workers could find themselves out of work, leading to economic instability.Moreover, the ethical implications of using AI in decision-making processes are profound. For example, in law enforcement, predictive policing algorithms are being used to determine where crimes are likely to occur. Presumably (据推测), this could lead to more effective resource allocation, but it also raises questions about bias and discrimination. If the data used to train these algorithms reflects societal biases, the outcomes could perpetuate existing inequalities. Thus, developers must ensure that AI systems are designed with fairness and transparency in mind.In conclusion, while the advancements in AI hold great promise for improving our lives, they also come with significant challenges that society must address. The future of AI is still uncertain, and presumably (据推测), it will require collaboration between technologists, ethicists, and policymakers to navigate these complexities. As we continue to integrate AI into our daily lives, it is crucial to strike a balance between innovation and ethical responsibility. Only then can we harness the full potential of this transformative technology while safeguarding our values and ensuring a fair future for all.

在当今快节奏的世界中，技术已成为我们日常生活中不可或缺的一部分。我们依赖各种设备和应用程序来使我们的任务更容易、更高效。近年来最重要的进展之一是人工智能（AI）的兴起。人工智能已改变了各行各业，从医疗保健到金融，并改变了我们与机器的互动方式。然而，人工智能的快速发展也引发了一系列需要解决的伦理问题。据推测，许多人认为人工智能最终将超越人类智力，导致一个未来，机器可能会为我们做出决定。这种想法既令人兴奋又令人害怕。 一方面，人工智能的好处是不容否认的。例如，在医疗领域，人工智能算法可以分析大量数据以识别模式并预测患者结果。这可以导致更早的诊断和更个性化的治疗方案。据推测，这项技术可以挽救无数生命，提高患者获得的护理质量。同样，在金融部门，人工智能可以通过分析交易模式来帮助检测欺诈活动，这比人类更快。这不仅保护了消费者，还增强了金融系统的整体安全性。然而，与人工智能相关的潜在风险不能被忽视。随着机器变得越来越自主，人们对问责制的担忧日益加剧。如果人工智能系统犯了错误，谁应该负责？据推测，许多人会认为技术的创造者应该承担责任，但现实往往更加复杂。此外，人们担心人工智能可能导致工作岗位的流失，因为自动化取代了传统上由人类执行的任务。虽然一些工作可能会演变，但据推测，许多工人可能会失业，从而导致经济不稳定。此外，在决策过程中使用人工智能的伦理影响是深远的。例如，在执法中，预测性警务算法被用来确定犯罪可能发生的地点。据推测，这可以导致更有效的资源分配，但也引发了关于偏见和歧视的问题。如果用于训练这些算法的数据反映了社会偏见，那么结果可能会延续现有的不平等。因此，开发人员必须确保人工智能系统的设计具有公平性和透明性。总之，尽管人工智能的进步对改善我们的生活充满希望，但它也带来了社会必须面对的重大挑战。人工智能的未来仍然不确定，据推测，这将需要技术专家、伦理学家和政策制定者之间的合作，以应对这些复杂性。随着我们继续将人工智能融入日常生活，至关重要的是在创新和伦理责任之间取得平衡。只有这样，我们才能充分利用这一变革性技术的潜力，同时维护我们的价值观，并确保所有人的公平未来。