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00:00:00 - 01:00:00

This video features a conference on generative artificial intelligence and teaching, exploring the opportunities and challenges brought about by AI tools in education. The speakers discuss the importance of using AI as a tool for problem-solving, data research, and content generation. They address ethical and legal challenges, including issues of data privacy, equity in access, and reliability. Furthermore, they emphasize the need to integrate these tools into teaching methods effectively and produce high-quality education. Finally, the speakers agree that universities play a crucial role in reviewing current curricula to emphasize teaching future-proof skills that AI cannot replicate to ensure productive collaboration between AI tools and students.

  • 00:00:00 In this section, the speaker welcomes everyone to the first conference on generative artificial intelligence and teaching, which was organized due to the queries, concerns, and curiosities from the academic community. The speaker thanks the deans of the faculties of social and labor studies and of commerce and management for their support, and introduces the speakers who will be discussing the topic.
  • 00:05:00 In this section, the Dean of the Faculty of Social Studies and Work and the Dean of the Faculty of Commerce and Management at the University of Malaga, as well as the Vice-Rector of Education and the Vice-Rector of Teaching, thanked the attendees and organizers of a conference on generative artificial intelligence and teaching. They expressed their belief that technological innovation affects all sectors of knowledge and the economy, and that events like this are opportunities to transform potential threats into opportunities. They welcomed the interdisciplinary attendance and participation in the event and highlighted the importance of digitalization and artificial intelligence in academia and society as a whole.
  • 00:10:00 In this section, the speaker discusses the importance of taking advantage of artificial intelligence (AI) as an opportunity rather than a risk. They highlight the historical fear of the unknown and the importance of being alert to technological and scientific changes. The goal is to use AI as a tool in classes and utilize it for data research and problem-solving. The speaker believes that everyone should evolve and learn to use AI and not let it remain a specialized tool in specific areas. They emphasize the significance of the accessibility of these tools and the impact they can have in generating original content from existing data.
  • 00:15:00 In this section, the speaker discusses the growth of generative artificial intelligence tools and the concerns and opportunities they present, particularly in the field of education. Despite the exponential growth in these tools and the worries they may generate, there is also a responsibility to use them responsibly and take advantage of the opportunities they present. The market for generative artificial intelligence is expected to grow by 35% annually over the next few years, including in the education sector. While there are challenges to introducing generative artificial intelligence in education, there are also opportunities to transform teaching and learning processes, generate new content and activities, and even aid research and administration.
  • 00:20:00 In this section, the speaker discusses the benefits of generative AI in education, such as personalized learning and adaptive testing. However, they also address the ethical and legal challenges that these tools pose, including issues of equity in access, data privacy, and the reliability of results. The speaker emphasizes the need for educators to understand the capabilities and limitations of these tools so that they can effectively integrate them into their teaching methods and help students use them responsibly and honestly. While regulations may be introduced, the speaker acknowledges that teachers must be prepared to adapt to this technology to provide a high-quality education to their students.
  • 00:25:00 In this section, the speaker discusses the potential for combining natural intelligence with generative artificial intelligence tools in a complementary manner rather than replacing natural intelligence entirely. The section introduces the upcoming event featuring Faraón Llorens, a professor of computer science and artificial intelligence at the University of Alicante, who has expertise in using technology in education. The event will include a Q&A session and a debate featuring university colleagues who will discuss incorporating these tools into their daily teaching activities. The speaker also expresses appreciation for the support of the university services in organizing the event.
  • 00:30:00 In this section, the speaker expresses his gratitude to the university for inviting him to speak at the conference on Generative Artificial Intelligence and Teaching. He starts his talk by stating his goal to generate interest and calm any fears about the subject matter by explaining that artificial intelligence is not magic, but rather a product of mathematics and engineering. He discusses the fear of the unknown and how humans often react when automation begins to affect the workplace. He also acknowledges that some people believe that artificial intelligence is not intelligent at all, but rather a product of programming that mimics human interaction. Overall, he hopes to dispel fears and generate interest in the topic through his informative presentation.
  • 00:35:00 In this section, the speaker discusses the implications of artificial intelligence (AI) on education and how it highlights the flaws in the current education system. He compares it to the story of the emperor's new clothes, where the emperor is convinced he is wearing beautiful clothes when in reality, he is naked, and only a child can see the truth. The speaker argues that AI is already here and is exposing the shortcomings of the education system, which has not been updated to fit the times. While advancements in AI are exciting, he warns against a harmful interpretation of it, which could lead to the destruction of the world. The speaker provides a brief history of AI, highlighting that it was not only about developing machines to be more intelligent but also to understand human intelligence better.
  • 00:40:00 In this section, the speaker discusses the concept of artificial intelligence and its exponential growth. He points out that AI will eventually surpass human intelligence and that we are currently in a perpetual spring of AI advancement due to the abundance of computational power and data available to us. He explains that machine learning algorithms are based on training collected data and notes that the quality of data going into these algorithms is crucial. Additionally, he delves into the issue of biased data perpetuating through machine learning and the need to act on explainability and rectify data to offset this bias. The speaker argues that, though there are some concerns about the objectivity of AI, there are also advantages to the consistency and lack of variability in decision-making.
  • 00:45:00 In this section, the speaker discusses the concept of intelligence and its connection to prediction. According to Jeff Hopkins, author of "The Learing We-You-I of University," intelligence is not determined by behavior, but by prediction. The constant act of predicting what will happen next is what makes us intelligent. However, when it comes to the application of AI and prediction, there is a danger when the prediction affects behavior, such as in the case of Amazon recommending a book or a political poll affecting voting behavior. Therefore, it is important to consider the objective behind the prediction and give explanations as to why it's being made. Ultimately, the power of AI lies in our hands, and we must be mindful of the consequences of allowing it to guide our behavior.
  • 00:50:00 In this section, the speaker discusses the impact of artificial intelligence on society and education. They note that AI is not neutral and can affect human behavior, and urge caution in designing such systems. The speaker also shares their observations on the level of interest in AI and the new platform, ChaJep, which has gained 100,000 users in just two months. The speaker argues that universities have a responsibility to understand and properly educate others about the implications of AI in the classroom and society, and expresses skepticism about calls to halt AI development entirely. Ultimately, the speaker suggests that evaluating the risks and benefits of AI is crucial in moving forward.
  • 00:55:00 In this section, the speaker discusses the role of artificial intelligence (AI) in education and the need to review current curricula to determine what should be taught. He mentions a declaration made by European computer scientists that calls for revisions to educational plans and for students to become aware of the ways in which AI is being used. The speaker believes that it is essential to teach students how to work alongside AI instead of fearing that it will replace them. He also cites reports from Educause and other organizations that recommend using AI to personalize learning and exploring generative AI tools that can be used to write and create content. The speaker emphasizes the importance of designing education that is future-proof by teaching skills that cannot be replicated by machines.

01:00:00 - 02:00:00

In this video, experts discuss the role of artificial intelligence (AI) in education and explore the various ways it can be used ethically and responsibly. The speakers highlight the potential benefits of using AI tools for learning, including generating creative ideas and challenging students to think critically. However, they also stress the need to revise the evaluation processes and ensure that tasks cannot be completed using AI to promote real learning and skill acquisition. Additionally, the panelists emphasize the importance of understanding the ethical implications of AI in education, including data privacy and responsibility, and suggest the creation of clear guidelines for the responsible use of AI tools in the classroom. Ultimately, the speakers suggest that AI can be a valuable companion for exploration and learning, but only when used appropriately and with ethical consideration.

  • 01:00:00 In this section, Antonio Vallecillo discusses his experience using generative artificial intelligence tools for education. He mentions the use of ChaJie PPT and the importance of only utilizing these tools for topics or areas that one knows well. Vallecillo also addresses criticisms of generative AI being a stochastic parrot that lacks true intelligence, pointing out that these tools are creative due to their ability to imagine and generate new ideas. He also emphasizes the importance of exploring and taking risks with these tools rather than only using them for efficiency. Overall, Vallecillo believes that generative AI can be a valuable companion for exploration and learning.
  • 01:05:00 In this section, the speaker discusses the role of artificial intelligence (AI) in education and the need to revise the evaluation processes. The speaker suggests designing evaluation tools that are not reliant on AI and creating tasks that cannot be completed using AI to ensure students are challenged and continue to learn. Additionally, the speaker describes an experiment in which students were given an open-ended question and split into four groups, with varying levels of information provided about the use of AI tools. The results showed that students who were not provided with any information delivered more creative and varied responses, highlighting the need to rethink how we utilize technology in education.
  • 01:10:00 In this section, the speaker discusses how they conducted an experiment using AI to evaluate professors' effectiveness based on how well they interacted with students. The results showed that the group without any interaction received the lowest scores, while the group with AI-assisted interaction received the highest scores. The speaker proposes two changes in the education system: evaluating the process instead of just the results and valuing the ability to ask questions instead of just providing answers. They also highlight the potential of AI to generate teaching materials and videos quickly and efficiently. The speaker concludes by emphasizing the need to not underestimate the long-term impact of AI in education.
  • 01:15:00 In this section, the speaker emphasizes the need to educate and approach humans and educators to the digital world, in order to create a balance between the analog and digital worlds. The aim is to design technologies that are inclusive and to enhance the intelligence of humans with artificial intelligence. The speaker stresses the importance of using AI as a tool to improve education and not to replace human capabilities. He notes that there shouldn't be a war between humans and AI, but rather a collaboration. The talk concludes with a call for educating our young students to become "digital centaurs" so that they can become better individuals and citizens by using AI to enhance their intelligence.
  • 01:20:00 In this section, the speakers discuss their concerns about whether artificial intelligence will make humans less intelligent. While they agree that it is important to avoid becoming overly reliant on machines, they also suggest that AI can be a useful tool for tackling common problems like writer's block. Ultimately, they argue that the key to staying ahead of the curve is to evolve as humans by focusing on higher-level tasks and allowing machines to take on more routine work. As they move forward, they suggest that educators should strive to create curricula that emphasize problem-solving and encourage students to think creatively about how they can use AI to their advantage.
  • 01:25:00 In this section, the speakers discuss how they have already implemented or plan to use generative artificial intelligence (AI) in their teaching methods. One professor has assigned students to experiment with AI in practical assignments while another is designing specific tasks for future courses. They discuss the potential impact on evaluation criteria and how to support the acquisition of competencies through implementing AI in their teaching. They also touch on the importance of understanding the role of tasks given to students and how they shape their learning experiences. Ultimately, the group aims to share best practices and find solutions to concerns surrounding the use of AI in education.
  • 01:30:00 In this section, the speakers discuss the challenges of integrating artificial intelligence (AI) in education and how it impacts both teachers and students. They agree that AI has the potential to defeat human stupidity but caution that teachers need to change their approach. Teachers must teach their students how to use AI effectively and efficiently, and also ensure that assignments given to students cannot be easily completed by machines. This involves rethinking the assessments and tasks given to students and using guidelines to make sure students are not simply copying from AI-generated sources. Overall, the speakers believe that AI has a place in education, but only when used appropriately.
  • 01:35:00 In this section, the panelists discuss the importance of applying knowledge and the use of digital tools and artificial intelligence (AI) in the classroom. They emphasize the need for ethical and responsible AI use and the importance of human interaction in the learning process. Some express concern over the possibility of excessive reliance on automated processes leading to the dehumanization of education and the lack of critical thinking skills among students. They also discuss the responsibility of teachers to incorporate AI into their teaching to prepare students for the workforce while ensuring that they acquire the competencies necessary for their chosen profession.
  • 01:40:00 In this section, the panel discusses the potential benefits of using generative AI tools in education. They point out that using AI can provide more challenging tasks for students and stimulate critical thinking, rather than simply copying notes. They also discuss the need for time and resources for educators to explore and adapt these tools. Additionally, the panel recognizes that AI can help foster collective intelligence and promote collaboration among students, making AI tools valuable in education beyond just the motivation factor.
  • 01:45:00 In this section, the speaker emphasizes the importance of ethical responsibility when teaching students about generative artificial intelligence. As educators, it is our responsibility to inform and guide students in using these tools ethically and responsibly. By incorporating AI tools into the classroom, students will improve their skills and efficiency. However, it is crucial for teachers to supervise and direct students so that they don't blindly accept the results generated by the AI as absolute truth. The speaker also suggests that teachers should encourage students to become teachers themselves by teaching their peers, as this is where true learning occurs. Ultimately, the aim should be to teach students how to control the AI and not the other way around; failure to do so may result in them accepting the AI-generated results as absolute truth.
  • 01:50:00 In this section, the speakers discuss the ethical and responsible use of artificial intelligence (AI) in education. They highlight the importance of creating a code of ethics for institutions to follow, which should include clear guidelines for using AI to increase student capacity rather than replacing talent. They also stress that this is a joint effort that involves not only teachers but also parents and the students themselves, who need to learn about cheating, plagiarism, and the appropriate use of AI tools. However, they emphasize that there should be an explicit and transparent agreement about how to use AI tools and that honesty and responsibility are crucial for all parties involved.
  • 01:55:00 In this section, the speakers discuss the ethical concerns related to the use of personal data and information in the age of AI, particularly in the field of education. They emphasize the importance of being mindful of how student data is being collected and used, and how it can be protected. They also discuss the need to approach evaluation and assessment in a more formative manner, rather than solely focused on control and compliance. Ultimately, they argue that there needs to be more education and awareness of the ethical implications of AI and data use at all levels, including in the classroom, university, and society as a whole.

02:00:00 - 02:55:00

The discussion revolves around the use of artificial intelligence (AI) in education, with an emphasis on the need for responsible and ethical use. The speakers acknowledge the benefits of AI tools in saving time and preparing students for real-world scenarios, but caution against over-reliance and potential biases in AI-generated results. The speakers call for a shift in the education system towards critical thinking and creativity, while also ensuring access to necessary resources and technology for all students. Additionally, the idea of forming discussion and mentoring groups to use AI tools effectively while preserving critical thinking and learning processes is suggested. Collaboration among professors is also suggested to advance and coordinate the use of generative AI in teaching.

  • 02:00:00 In this section, the speakers discuss the importance of data protection and ethical use of data in the context of generative artificial intelligence (AI) and teaching. The need to learn about protection of sensitive data, such as avoiding sharing relevant data with generative AI tools, is highlighted. The speakers also mention the use of AI tools in creating teaching materials such as presentations and activities in order to save time. However, caution is advised as the current technology may not always produce desirable results.
  • 02:05:00 In this section, a professor discusses how she uses artificial intelligence to help her students prepare for real-world scenarios in their future careers. By focusing on what employers and the job market expect from graduates, she presents her students with exercises that reflect real-life situations. With the help of AI, they are able to produce technical documents and verify that they are correct, generate dialogues based on given scenarios and verify their language use. She emphasizes the importance of preparing students for the day-to-day challenges they will face in their future careers and how AI can assist them in that process.
  • 02:10:00 In this section, the speakers discuss the growing presence of generative AI in our daily lives, from chatbots to video games to Google searches. They also talk about the importance of educating students about AI and automation, so that they understand that certain tasks will not translate to future job opportunities as they become increasingly automated. However, the speakers also emphasize the need for human validation and verification of AI-generated results, and caution against relying solely on the machines for important decisions. Overall, there is agreement that AI will continue to be an important and rapidly advancing field, and that it will require ongoing adaptation and education for professionals.
  • 02:15:00 In this section, the speaker discusses the challenges facing universities in the modern age of education. The first challenge is to set higher expectations for students in terms of critical thinking and generating new ideas, rather than just absorbing knowledge. The second challenge is for universities to adapt quickly to new teaching models and technology, as the traditional model can become obsolete. The speaker emphasizes the need for teachers to rethink how they teach and for universities to revamp their approach to learning in order to meet the needs of the modern world.
  • 02:20:00 In this section, the speakers discuss the use of artificial intelligence (AI) in the field of education and the need to rethink the way education is approached. They argue that AI will force the education system to view education as a public service that extends beyond traditional university degrees. The speakers also touch on topics such as data protection laws and ethics in science, where they emphasize the importance of responsibility and the need to understand the changes in the system. Though they agree that the introduction of AI is stimulating, they recognize that change is difficult and requires effort and reflection.
  • 02:25:00 In this section, the speakers discuss the importance of rethinking how students are educated in the era of AI and what kind of students they should envision. They acknowledge the tendency of schools and universities to adopt trends in technology like the use of digital boards, but at the same time, they express concern about how the evaluation and transmission of information processes may change if new ways of working are introduced. They also talk about the importance of patterns in machine learning and how education should not only teach students how to use tools but also how to acquire knowledge in a more creative and flexible way.
  • 02:30:00 In this section, the speaker discusses the potential biases of artificial intelligence (AI) and the importance of using AI to supplement human intelligence rather than replace it. The speaker shares a recent case of an American lawyer who used false jurisprudence created by an AI to defend a case. The speaker highlights that while there are many different AI's that use internet knowledge, some AI's are more advanced than others. The danger lies in having a political debate with an AI that has persuasive yet false arguments, this can lead to issues when the AI is replicating and spreading information. The speaker notes that it is essential to have humans behind AI and use it ethically and honestly. Additionally, the speaker mentions the importance of knowing more about AI and using it critically conscious of the biases that exist in AI programs.
  • 02:35:00 In this section, Pedro Cobo, a psychology professor, raises a practical problem related to the potential negative effects of AI on education. He explains that he has followed specific principles to design evaluation activities, such as the importance of having students produce knowledge instead of merely reproducing it. However, he worries that if students become too reliant on AI tools, such as chat GPT, they might skip essential comprehension and reasoning processes needed to learn and develop their scientific writing skills. Therefore, Cobo suggests that it might be helpful for educators to form discussion and mutual mentoring groups to learn how to use AI tools effectively while preserving critical thinking and learning processes.
  • 02:40:00 In this section, two professors discuss the challenges of using generative AI tools to evaluate student assignments. One professor expresses concern about how to monitor large groups of students to ensure they are not submitting work generated by AI tools. The other professor suggests an approach of having students use the AI tool in class under close supervision, while emphasizing to them that the goal is to learn, analyze, and think critically, rather than just to check off a requirement. He also offers to provide support to the first professor, as they both believe that the focus should be on developing an integral education for students. The conversation highlights the importance of ensuring that AI tools are used to support and enhance learning, rather than undermine it.
  • 02:45:00 In this section, the issue of potential inequality arising from students having access to different types of AI technology was raised. Some students may have access to paid versions of AI tools, while others may only have access to free versions, or none at all. This was acknowledged as a problem, but it was also recognized that there are already existing differences in access to technology in general (e.g. some students may have more powerful computers than others), and that it is ultimately the university's responsibility to ensure that all students have access to the necessary resources to succeed. Some suggestions were made for utilizing free AI tools, such as certain Chrome extensions, which were found to be effective.
  • 02:50:00 In this section, a student shares his experience assisting other students in using GPT-3 for a work assignment, which ultimately resulted in a failing grade due to plagiarizing. The group discusses the importance of responsible and honest use of AI tools, and the need for institutions to provide resources and guidelines to ensure ethical use. The idea of creating a peer-to-peer support network for students and teachers to share their experiences and knowledge of AI is suggested. They also mention the need to update ethical codes and create virtual campus courses to help students properly use AI tools in the future.
  • 02:55:00 In this section, the speaker discusses the idea of grouping professors who share similar experiences and interests in order to help coordinate and advance the use of generative artificial intelligence in teaching. The speaker suggests that the challenge of utilizing AI in education could provide many opportunities if approached in a collaborative and coordinated manner. The speaker expresses gratitude towards those who helped make the event a success.

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