Mediaboss Marketing

This article has been reviewed according to ScienceX's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility:

With the advent of artificial intelligence (AI), several aspects of our lives have become more efficient and easier to navigate. One of the latest AI-based technologies is a user-friendly chatbotChatGPT, which is growing in popularity owing to its many applications, including in the field of education.

ChatGPT uses algorithms to generate text similar to that generated by a human, within seconds. With its correct and responsible use, it could be used to answer questions, source information, write essays, summarize documents, compose code, and much more. By extension, ChatGPT could transform education drastically by creating virtual tutors, providing personalized learning, and enhancing AI literacy among teachers and students.

However, ChatGPT or any AI-based technology capable of creating content in education, must be approached with caution.

Recently, a research team including Dr. Weipeng Yang, Assistant Professor at the Education University of Hong Kong, and Ms. Jiahong Su from the University of Hong Kong, proposed a theoretical framework known as 'IDEE' for guiding AI use in education (also referred to as 'educative AI').

In their study, which was published in the ECNU Review of Education on April 19, 2023, the team also identified the benefits and challenges of using educative AI and provided recommendations for future educative AI research and policies. Dr. Yang remarks, "We developed the IDEE framework to guide the integration of generative artificial intelligence into educational activities. Our practical examples show how educative Al can be used to improve teaching and learning processes."

The IDEE framework for educative AI includes a four-step process. 'I' stands for identifying the desired outcomes and objectives, 'D' stands for determining the appropriate level of automation, the first 'E' stands for ensuring that ethical considerations are met, and the second 'E' stands for evaluating the effectiveness of the application. For instance, the researchers tested the IDEE framework for using ChatGPT as a virtual coach for early childhood teachers by providing quick responses to teachers during classroom observations.

They found that ChatGPT can provide a more personalized and interactive learning experience for students that is tailored to their individual needs. It can also improve teaching models, assessment systems, and make education more enjoyable. Furthermore, it can help save teachers' time and energy by providing answers to students' questions, encourage teachers to reflect more on educational content, and provide useful teaching suggestions.

Notably, mainstream ChatGPT use for educational purposes raises many concerns including issues of costs, ethics, and safety. Real-world applications of ChatGPT require significant investments with respect to hardware, software, maintenance, and support, which may not be affordable for many educational institutions.

In fact, the unregulated use of ChatGPT could lead students to access inaccurate or dangerous information. ChatGPT could also be wrongfully used to collect sensitive information about students without their knowledge or consent. Unfortunately, AI models are only as good as the data used to train them. Hence, low quality data that is not representative of all student cohorts can generate erroneous, unreliable, and discriminatory AI responses.

Since ChatGPT and other educative AI are still emerging technologies, understanding their effectiveness in education warrants further research. Accordingly, the researchers offer recommendations for future opportunities related to educative AI. There is a dire need for more contextual research on using AI under different educational settings. Secondly, there should be an in-depth exploration of the ethical and social implications of educative AI.

Thirdly, the integration of AI into educational practices must involve teachers who are regularly trained in the use of generative AI. Finally, there should be polices and regulations for monitoring the use of educative AI to ensure responsible, unbiased, and equal technological access for all students.

Dr. Yang says, "While we acknowledge the benefits of educative AI, we also recognize the limitations and existing gaps in this field. We hope that our framework can stimulate more interest and empirical research to fill these gaps and promote widespread application of Al in education."

More information: Jiahong Su () et al, Unlocking the Power of ChatGPT: A Framework for Applying Generative AI in Education, ECNU Review of Education (2023). DOI: 10.1177/20965311231168423

Provided by Cactus Communications

Continued here:
ChatGPT as 'educative artificial intelligence' - Phys.org

When announcing the much publicized $125 million fine against JP Morgan for violating recordkeeping rules, the U.S. Securities and Exchange Commission (SEC) Chair stated that financial institutions did not act as if they got the message regarding unauthorized or unwatched written communications.[1] The Commodity Futures Trading Commission (CFTC) has also fined banks and brokerages billions of dollars for not saving communications.[2] For a long time, businesses had to worry about saving their own authorized communications, but more recently, the SEC has discovered that employees are purposefully discussing business on separate communications channels to avoid company eyes.[3]

As the fines become stiffer for current authorized and unauthorized messaging platforms, the race to develop artificial intelligence, including an AI-powered chatbox, is in full swing.[4] Early tests of AI chat tools show that AI can produce some offensive and crazy responses as they ingest a vast amount of text from the internet.[5] What will federal regulators make of these messages? It is even predicted that workers in the finance industry could be replaced by AI in the areas of financial advising, trading, accounting, and investment banking.[6] In announcing the fine against JP Morgan, SEC Chair Gary Gensler stated: As technology changes, its even more important that registrants ensure that their communications are appropriately recorded and are not conducted outside of official channels in order to avoid market oversight.[7]

Much has been said about the Department of Justices announced changes to its criminal enforcement policies.[8] Kenneth A. Polite, Jr., the Assistant Attorney General of the Criminal Division, emphasized that business-related electronic data and communications must be preserved, and accessible or negative consequences will flow. This includes communications on personal devices, communication platforms, or third-party messaging applications. AI generated messages or information will most likely also be considered business-related electronic data. It is unclear how erroneous or false information from AI will be viewed. But one thing is for sure, the SEC and other agencies will continue to investigate financial firms and whether they have gotten the message or not. Regulated firms need to invest time and resources in developing communications and retention policies now with an eye towards the future of AI.

[1] SEC will reward cooperation where firms mess up with unauthorized communication, Resources, Jennie Clarke, November 17, 2022, http://www.globalrelay.com/sec-will-reward-cooperation-where-firms-mess-up-with-unauthorized-communications.

[2] 16 Wall Street firms fined $1.8B for using private text apps, lying about it, Computer World, Lucas Mearlan, September 28, 2022, http://www.computerworld.com/article/3675289/16-wall-street-firms-fined-18b-for-using-private-text-apps-lying-about-it.

[3] Id.

[4] Microsofts new AI chatbox has been saying some crazy and unhinged things, NPR, Bobby Allyn, March 2, 2023, http://www.npr.org/2023/03/02/1159895892/ai-microsoft-bing-chatbox.

[5] Id.

[6] ChatGPT may be coming for our jobs. Here are the 10 roles that AI is most likely to replace, Business Insider, Aaron Mok and Jacob Zinkula, April 9, 2023, http://www.businessinsider.com/chatgpt-jobs-at-risk-replacement-artificial-intelligence-ai-labor-trends-2023-02.

[7] JPMorgan Admits to Widespread Recordkeeping Failures and Agrees to Pay $125 Million Penalty to Resolve SEC Charges, U.S. Securities and Exchange Commission Press Release 2021-262, December 17, 2021, http://www.sec.gov/news/press-release/2021-262.

[8] DOJ Takes Stance on Messaging Apps, Details Comp Reforms, Law 360, Stewart Bishop, March 3, 2023, http://www.law360.com/articles/1582115/doj-takes-stance-on-messaging-apps-details-comp-reforms.

Read the original here:
What is the Message from Artificial Intelligence | Butler Snow LLP ... - JD Supra

WEST LAFAYETTE, Ind. A technology with the potential to transform all aspects of everyday life is shaping the next pursuit at Purdue University. With the programs, research and expertise highlighted below, Purdue is guiding the advancement of artificial intelligence. If you have any questions about Purdues work in AI or would like to speak to a Purdue expert, contact Brian Huchel, bhuchel@purdue.edu.

AI presents both unique opportunities and unique challenges. How can we use this technology as a tool? Researcher Javier Gomez-Lavin, assistant professor in the Department of Philosophy, shares the work that needs to be done in habits, rules and regulations surrounding those who work with AI.

Hear researcher Aniket Bera explain more about his groundbreaking work to bring human behavior into AI and what sparked his interest in the technology. In this interview, Bera touches on the importance of technology in human emotion and the goal of his research lab.

Is AI trustworthy? Hear Purdue University in Indianapolis researcher Arjan Durresi explain how making AI safe and easy to understand for the everyday user requires treating the development of the technology like the development of a child.

AI is touching almost every subject, discipline and career field as it evolves. In human resources, the technology has already been used as a selection tool in job interviews. Professor Sang Eun Woo explains how we can turn this use of AI as a selection tool into a professional development tool.

How will AI influence writing and education? Harry Denny, professor of English and director of Purdues On-Campus Writing Lab, answers how ChatGPT and other AI programs may be integrated into the classroom experience.

The rise of ChatGPT has created concerns over security. Professor Saurabh Bagchi shares the reality of cybersecurity concerns and how this technology could be used to strengthen the security of our computing systems.

How Purdue is helping design artificial intelligence, raise trust in it

WISH-TV Indianapolis

Purdue University professor working to help robots better work with humans

WGN-TV Chicago

Original post:
Approaching artificial intelligence: How Purdue is leading the ... - Purdue University

If you have people making decisions from data, you probably need artificial intelligence but not the kind that's making headlines right now.

The sensational headlines this week are about generative chatbots programs like ChatGPT that carry on natural-sounding conversations in (written) English. They're amazingly lifelike and seem to be thinking for themselves.But the things they say are often false, and even when telling the truth, they can't tell you where they got their information.They're working from large tables of how words are commonly used, not information about the outside world. So despite the "wow" factor, they're not, by themselves, the right tool for anything in mortgage lending that I can see.

Chatbots do have their uses. You might want to have a web page that takes customers' questions in plain English and answers them. Generative technology can be useful on the input side, for recognizing different ways of wording a question, but the answers have to be controlled. When a customer asks for his loan balance, the chatbot must actually look up the balance, not just make up something that uses words in a plausible way. Even if the computer misunderstands the question, it must not spout falsehoods.

But chatbots are just one tiny part of AI.They are one application of machine learning, which itself is still not the whole of AI, but let's look at that next.

Machine learning means getting software to recognize patterns and train itself from data.Machine learning is very useful for finding statistical regularities and estimating probabilities. It is basically statistical regression, greatly expanded into many dimensions.Neural networks are one kind of machine learning, and they are multi-layer statistical models, not models of brains.

The results of machine learning are only probable, not certain.You have to be ready to live with inaccuracy.Fortunately, people recognize that the answers aren't coming from a conscious human mind, and it's easier for humans to be cautious.Machine learning will tell you whether a borrower is probably a good risk. It will not tell you for certain exactly what that borrower will do.That is easy to understand, and useful.

Apart from inaccuracy, the big risk with machine learning is that it will learn the wrong things specifically, discriminatory decisioning. If you tell a computer to find patterns, it will find them, whether or not they are patterns society wants to perpetuate. If the data used to train a machine learning model reflects historic racial bias, it may discover this and perpetuate it in its predictions. It has no way to know you don't want it to use that knowledge. It might even detect race indirectly, from location (old-fashioned illegal redlining), or choice of hairdressers, or anything else.

How strongly you guard against this depends on what you are using machine learning for. If you're just plotting an advertising strategy or making predictions internally, the prejudiced computer may not violate laws or regulations but if it's making decisions about people, it certainly will. The cure is to block inappropriate information from being used, so the machine is only learning from data you're entitled to use, and also to test the results to see if the system is in fact biased.You usually cannot look at the machine learning system to find out what it learned, because the patterns are hidden in matrices of numbers.

But even that isn't all of AI.Traditionally, AI comprises all uses of computers that are based on the study of human thought.That includes some technologies that are not in today's limelight but are very applicable to finance.They revolve around knowledge-based systems and explicit rules for reasoning.

One time-honored method is knowledge engineering: Get a human expert, such as a loan underwriter, to work through a lot of examples and tell you how to analyze them. Then write a computer program that does the same thing, and refine it, with help both from the human expert and from statistical tests. The result is likely to be a rule-based, knowledge-based system, using well-established techniques to reason from explicit knowledge. And it can well be more accurate and reliable than the human expert because it never forgets anything.On the other hand, unlike the human expert, it knows nothing that was not built into it.

Knowledge engineering mixes well with machine learning approaches that output understandable rules, such as decision trees. There are also ways to probe a machine learning system to extract explicit knowledge from it; this is called explainable AI (XAI).

Of course, knowledge-based systems face a pitfall of their own that we recognized long ago: "As soon as it works reliably, it's no longer called AI!" But we're in business to make good decisions, not to impress people with magic.

Here is the original post:
What is safe artificial intelligence in mortgage lending? - National Mortgage News

Avid Disney vacation planners know that using technology to help plan a Disney vacation is as old as tech itself. When the internet still had that new car smell, us Disney planners flocked to Disneys fledgling website and independent chat groups to help craft magical vacations.

Many decades later, we still utilize online resources and discussion boards, like DISboards, but today we have social media, vlogs, podcasts, and even TikToks. This brings me to the new kid on the planning block Artificial Intelligence.

Chat GPT is an online platform that allows almost anyone with an internet connection to have a chat dialogue with an artificial intelligence bot. But, lets let ChatGPT answer the question.

You will find pros and cons of utilizing artificial intelligence like ChatGPT. So I thought, why not begin my AI adventure exploring a subject with which I am extremely familiar: Disney Cruise Line.

Below you will see screenshots of questions I have asked, along with the answers generated by Chat GPT.

If you can use a search engine, you can use Chat GPT. I simply asked, What is Rotational Dining on Disney Cruise Line? and this is the answer provided.

I also asked, What Port Adventures are available on Disneys Castaway Cay?

So far, so good, but these are fairly simple questions.

ChatGPT provides users with answers that are conversational and authoritative meaning it really thinks it knows what it is talking about. However, if you ask ChatGPT, it will sometimes admit the answers provided are simply wrong.

For example, I asked ChatGPT How much should I tip on Disney Cruise Line? and this is the response given.

Current gratuities charged are $14.50 per guest per day. Also, bar, beverage, and spa services gratuities are actually 18%, not 15%. It is a small detail, but one you wouldnt catch unless you had previously sailed with Disney Cruise Line or had already done your research.

ChatGPT does offer a feedback option. You can utilize the Thumbs Up or Thumbs Down icons at the top of your answer, or you can provide the correct information in the chat field. That does not mean the answer will be corrected the next time you ask. It only means that the artificial intelligence will group your response with the information it has already gathered from various sources.

For me, the best feature of ChatGPT is that I can ask the program a question as if I was talking with a person. You can ask for ideas like:

This AI is aware that it has limitations. For vacation planners, this tool can help spark ideas on what activities are available at destinations worldwide. However, it cannot provide real-time travel information, nor can it give you travel quotes or help you book travel.

That last suggestion about contacting a travel agent is good advice. Lets see what ChatGPT has to say about that.

Visit the human agents over at Dreams Unlimited Travel the official sponsor of DCL Fan to request your free, no-obligation quote from one of our experienced Disney Cruise Line travel planners who will be happy to assist you when planning a Disney Cruise Line vacation for the humans in your traveling party.

Melanie is the mom of three young adults. She is a native Floridian who now lives in North Carolina. She is a Gold Castaway Club Member who has sailed on all four of the current ships at least once and is ready to set sail on the Disney Wish this fall.

Here is the original post:
Using an Artificial Intelligence Interface to Plan a Disney Cruise - DCL Fan