How did the popularization of AI platforms such as ChatGPT impact your work? What are your thoughts on the many concerns(plagiarism, fairness, academic integrity, etc) about this kind of technology?
My personal view is that quite a bit of hype is aired about ChatGPT. From what I understand, it is basically a neural network program indexing a huge amount of data as only neural networks can index data, that can be retrieved practically instantly on any set of entry criteria, that the neural network then automatically correlates as a function of the reference frame inherent in the questions asked, and makes available at its output layer.
It is undeniable that the future of work is set to be revolutionized by generative AI. There will be new opportunities created by the advanced automation of tasks, allowing professionals to allocate more time to complex and valuable tasks, leading to increased job satisfaction, productivity, and firm profits...
Mary Alice Vuicic, chief people officer at Thomson Reuters, discusses how, when harnessed properly, AI will expand career opportunities by democratizing access, removing friction, and amplifying the power of transferable skills...
Thank you for the interesting topic of discussion.
If we go through the pages of History, we can see that from time to time man had created objects and energies that had the capacity to destroy man. In my opinion, AI is one such thing. So, I don't allow it to impact my work.
As per mine opinion, AI platforms like ChatGPT have impacted work across different sectors, as well as address the concerns around these technologies.
Impact on Work: The widespread use of AI platforms has influenced a broad array of fields, from customer service to creative writing and from education to data analysis.Customer Service: AI chatbots like ChatGPT have been used to handle customer inquiries, reducing response times and freeing up human employees for more complex tasks. Creative Writing: AI has been used to assist in creating drafts for articles, scripts, etc., which can then be refined by human writers. This can make the writing process faster and more efficient. Education: AI can be used as an educational tool, providing information and answering questions on a wide range of topics. This allows for more personalized and self-paced learning experiences. Data Analysis: AI can process and analyze large amounts of data more quickly and accurately than humans can, leading to more informed decision-making processes.
Concerns:Plagiarism: Since AI models like ChatGPT generate responses based on a large amount of training data, there is a risk that the AI might reproduce or closely mimic copyrighted or proprietary content. Developers and users should be aware of this risk and take appropriate measures, such as using the AI to generate initial drafts or ideas that can then be significantly modified by the user. Fairness: AI models can inadvertently reproduce and amplify existing biases present in their training data. Developers are encouraged to use techniques for auditing and mitigating bias in their models and to be transparent about the limitations of their AI. Academic Integrity: The use of AI in academic settings raises questions about what constitutes cheating. For example, if a student uses an AI to write an essay, is that considered their own work? This is a complex issue that may require the development of new academic policies and standards.
In conclusion, AI technologies like ChatGPT have made significant impacts on various fields, but their use also comes with important ethical and practical considerations. Society will need to navigate these concerns as we continue to integrate AI into more and more aspects of our lives.
Artificial intelligence is affecting job loss displace roughly 15% of workers, or 400 million people, worldwide between 2016 and 2030.
The potential loss of jobs due to automation and AI is a topic of great concern and discussion. It is true that AI can automate certain tasks and processes that were previously performed by humans, which could lead to job displacement in some industries. However, it is also important to note that AI has the potential to create new jobs and industries, as well as improve productivity and efficiency in existing ones...
Clearly, a significant element of the discussion is around what AI means for work, and, as with most things, the answer is a variation of ‘it depends’ because every business and industry will be affected differently...
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Artificial intelligence is transforming the technology of media text production. Therefore, it is necessary to adjust the educational programs for training journalists, advertisers, PR specialists, and other media professionals in such a way that they can effectively utilize the capabilities of artificial intelligence in their professional activities. Additionally, the role of the editor is gaining prominence again, a role that had been diminished in recent years. Modern media had relegated the editor to a secondary role, sometimes even eliminating the position. The possibility of automatic text generation greatly amplifies the importance of its quality editing. Naturally, the market will change. However, there is no tragedy in this shift thus far.
I have detected an interesting coincidence. The Google Scholar citations of my scientific publications from abroad almost stopped after the wide launch to market of the AI products in November 2022. Of course there are other influencing factors for such situation, but this is what is called a disruption.
It is not acceptable that great part of the global scientific community, if we can afford to name it, composes its scientific discoveries and deliverables in a way that may be arguable from the perspective of who made the contribution and who did the work (potential intellectual property issues, later career development issues). We, scientists, and especially managers and legislators in the educational and scientific spheres, have not reached a consensus on the ethical use of such applications not only in teaching (lecturing, leading workshops), but also in making research. The UN, UNESCO, EU, G20 or BRICS have not yet introduced any kind of regulations. After all we cannot reject Pedagogics as science because of a new software. We have to find the right ways of moving forward as intelligent humans, enhancing simultaneously our independent thinking, capabilities and safety. This is the reason why we need some rules and global organization to continuously update them, and even some rules for experimentation in the field. Innovating is excellent when prudently performed and implemented, all for the good of society
The popularization of AI platforms such as ChatGPT has likely had a significant impact on your research career, particularly in the field of natural language processing (NLP) and artificial intelligence (AI). Here are some ways in which their rise to prominence may have influenced my work as a researcher:
Iam not yet thoroughly convinced as regards the ethicality of use of Chat Gpt, though there has already been a huge following on the same by the academia and others worldover. Wait and see!!!
What's in an A.I.? It helps you produce content instantly (a content-producing machine) but it does not know that it produces content (is not self-aware that it works, i.e. that it produces meaning). Just like André Michaud replied, "it is basically a neural network program indexing a huge amount of data", but does so passively, only when provided a cue. What is more, the work-product is highly derivative, general, and without apprehension - in mode of selection - of the details that make the whole difference between what matters within a certain context and what not (remember where the devil is). In class (I teach literature and intermix it with post-structuralist philosophy), we try to make sense of the work of art and how it relates to life, i.e. Being, and the social body as well, in a more creative way. But what's "creative" in a digitally programmed production of information and "knowledge"? What we do is ask questions we find relative to the topic of discussion (something A.I. does not do! yet? - its synthesis of information is entirely passive - meaning it "closes" questions which are still in progress [such as "what's the purpose of history?"] - while that of human logic depends on active selection of functional details). I guess A.I. is useful for checking information but is it really an "intelligent" "generator" of information (not to mention "reliable")? More like a rehasher of what has already been said, done, lived through, emotionally and intuitively (what gets written in history out of embodied experience). In these lines of thought A.I. seems like a Frankensteinian dwarf on the shoulders of giants (a matter of perspective and taxonomy, I guess, who is alive and "intelligent" - the questions relating to Being are asked only by the Giants of the ordinary). This reminds me of "A.I. Artificial Intelligence" (2001): the robot wanted to be human with all that humanness implies - a cursory look at history would suffice. In "Ex Machina" (2014) the creator of the A.I. married art with science to produce a sentient artificial being (cf. the Jackson Pollock reference in the movie). The result was not a machine but a self-aware being capable of giving problematic feedback and doubting its surroundings, i.e. the cues given by people. In my classes we focus more on becoming conscious of ourselves in our organic relationship with art and being rather than growing more unconscious and digitally machinic (reproducing knowledge in the form of orthodox history, archival traditionalism, the doxa). I always tell my students that A.I. should be a tool rather than the product, the means and not the end. Thanks for the question!
Researchers have used the technology that underlies the artificial intelligence (AI) chatbot ChatGPT to create fake data to support an unverified scientific claim. The ability of AI to fabricate convincing data adds to concern among researchers and journal editors about the technology’s impact on research integrity...