GLN LearnAbout: ChatGPT

[Paul Terlemezian]

We continued this LearnAbout on Friday, February 10 with a LearnAbout session led by Vontarius Falls.

We then decided to continue on Tuesday, February 14 at noon and change the format to a TeachAbout that will be led by Aaron Owens. Please review the comments for the format of the TeachAbout.

Here is the link for the February 14 2023 session:

Topic: ChatGPT Affinity Group (Aaron Ownens to facilitate)
Time: Feb 14, 2023 12:00 PM Eastern Time (US and Canada)

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Meeting ID: 869 0528 1398
Passcode: 216772
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******Original ChatGPT LearnAbout******

Please join a LearnAbout focused on ChatGPT and the Workplace Learning Industry:

• When: Feb 7, 2023 12:00 PM Eastern Time (US and Canada)
• Register in advance for this meeting: https://us02web.zoom.us/meeting/register/tZclcO6pqjkvG9d0IV-kM4d4t9...
• After registering, you will receive a confirmation email containing information about joining the meeting.

The following questions were posed to ChatGPT:

What are the myths related to workplace learning?

1. Workplace learning is only for new employees
2. It's only needed when an employee is struggling with their work
3. Classroom training is the only effective way to learn
4. Employees don't have time for learning and development
5. Learning is a one-time event, not ongoing
6. Only formal training counts as learning
7. Employees are resistant to change and learning
8. Employees are solely responsible for their own learning
9. Learning and development is not relevant to employees' work
10. Learning and development has no impact on business results

What is the relevance of ChatGPT to Workplace Learning?

ChatGPT can be used in workplace learning in several ways:

1. Employee training: ChatGPT can be used to create interactive training modules that can help employees learn new skills or knowledge in a conversational manner.

2. FAQ chatbot: ChatGPT can be used to create an AI-powered chatbot that can assist employees with common questions, freeing up time for HR or support teams.

3. Knowledge management: ChatGPT can be used to create a centralized repository of information for employees to access, helping to ensure that everyone has access to the latest and most accurate information.

4. Performance support: ChatGPT can be used to provide on-demand, context-sensitive support to employees as they perform their tasks, helping to improve their productivity and job satisfaction.

[Paul Terlemezian]

Here is the format for the TeachAbout on Tuesday, 14 February:

Four - 10 Minute Segments

1. Facilitated conversation amongst LEARNERS (panelists) on the topic
   1. in the presence of an expert
   2. who is muted and off-camera
2. Expert presentation
3. Facilitated conversation amongst LEARNERS on the Presentation
   1. agree on questions to ask the expert
   2. who is again muted and off-camera
4. Facilitated conversation including the expert
   1. who may or may not choose to answer the questions
   2. who may pose questions of their own!

[Paul Terlemezian]

To prepare us for the conversation on 14 February - I asked ChatGPT:

What are the most common misconceptions about ChatGPT

Here are some of the most common misconceptions about ChatGPT:

1. ChatGPT is sentient or has consciousness: ChatGPT is an AI model developed by OpenAI and does not have feelings, thoughts or consciousness. It is an advanced natural language processing algorithm designed to generate human-like text.

2. ChatGPT can understand and retain information: Although ChatGPT has been trained on a large corpus of text, it doesn't actually "understand" the text in the same way that humans do. Instead, it uses patterns in the data it was trained on to generate new text.

3. ChatGPT can perform any task: While ChatGPT is highly capable in terms of language processing, it has limitations and cannot perform tasks that are outside the scope of its training data. For example, it cannot perform mathematical calculations or access the internet to provide real-time information.

4. ChatGPT is always accurate: ChatGPT was trained on a large corpus of text, which includes both factual information and inaccuracies. While it does its best to generate accurate information, it's important to verify any information provided by ChatGPT before using it.

5. ChatGPT is biased: Like any machine learning model, ChatGPT has been trained on a dataset that reflects the biases and perspectives of its creators and the sources of the training data. This can result in biased outputs, and it's important to be aware of these biases when using ChatGPT.