Rise of the AI Ethicists

An AI Ethicist is a person who assesses AI systems from an ethical standpoint to ensure they are built and utilized responsibly, uphold civil dignity, and are consistent with internalized ethical ideals and values. An AI Ethicist may also help to avoid AI bias, ensure AI transparency, ensure the confidentiality, privacy, and security of data, and mitigate risks and develop systems that benefit society at large.

The market demand for AI Ethicist roles is likely to increase as businesses grow more and more reliant on AI and as AI systems become increasingly sophisticated and autonomous.

According to a Deloitte survey, 32% of AI-aware executives ranked the ethical risks of AI as one of their top three AI-related concerns.

The Federal Trade Commission advised companies using generative AI that it’s “perhaps not the best time” to remove staff dedicated to AI ethics and responsibility, according to guidance released Monday.

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In this edition we will

1. explain what AI Ethicists are 👆

2. ask politely for a Call To Action

3. spend $140 per year per employee to use ChatGPT

4. outline a 6-week program to rollout ChatGPT in your org.

5. learn how to use ChatGPT to summarize Zoom transcripts

6. see a new privacy focused ChatGPT tool

7. read about how Microsoft will monetize privacy

8. applaud IBM for scapegoating AI

9. chuckle at a double-standard via a meme

🚨🥳A Call To Action

Twitter users: Please go to this tweet I posted and like it ❤️. If you want to repost or comment that is awesome but a like will do too. If you disagree, that is cool - like it and then share why in replies.

LinkedIn users: Please go to this post I published and like it 👍🏻. If you want to repost or comment that is awesome but a like will do too.

Why I am asking this? Your engagement will help these posts reach more people! 🧒🏻👧🏽👦🏼👩🏾🧑🏼👨👩🏻‍🦱👱🏽‍♂️👨🏻‍🦳🧑🏻‍🦰

Spend $140 per employee, get back 10x

Gaining Over $140 per Year per Employee with ChatGPT: Genies CEO Shows the Way and You Should Follow

Akash Nigam, CEO of web3 avatar startup Genies, invested over $2,000 per month on ChatGPT Plus subscriptions for all 120 employees at his company. Within just one month, Nigam witnessed accelerated task completion and is confident that this investment will enhance the company's bottom line. This bold initiative encourages other organizations to consider the potential gains from AI integration, while addressing concerns about risks and return on investments.

A Challenge for Organizations: Unleash AI's Potential for Greater Gains

Genies' CEO has set a benchmark for other organizations by actively integrating ChatGPT into every employee's workflow. Nigam's decision showcases his belief in AI as a powerful productivity booster, capable of automating mundane tasks and improving overall company performance. It's time for other organizations to recognize and embrace the potential advantages of AI and explore innovative strategies to incorporate it into their operations.

Return on Investment vs. Risk: Capitalizing on AI's Value

At $2,400 per month, Nigam's investment in ChatGPT Plus for his employees might appear costly. However, he is convinced that the benefits will more than compensate for the costs, as he has already observed accelerated task completion and anticipates a reduced need for hiring in the future. Research from Stanford University and Massachusetts Institute of Technology corroborates this perspective, with 14% of employees experiencing increased productivity when using generative AI in their workflows. Notably, the least experienced and least skilled workers completed tasks 35% faster.

On the flip side, risks do exist.

Amazon has cautioned its employees against sharing company code with ChatGPT, expressing concerns about potential leaks or unintended training of the chatbot.

Nevertheless, Genies has successfully utilized ChatGPT to streamline processes, such as debugging code and creating company strategy outlines. This indicates that the return on investment could be well worth it, and organizations should weigh the potential benefits of AI integration.

⏰ 🏆 6 weeks to do what Akash is doing
A project plan & roadmap 🧭📍

GOAL ▶︎▶︎ Each employee will create a "cheat code" or playbook for their specific role, outlining how they plan to use ChatGPT for at least 5% of their work. These will be collected, shared, and used to update operating procedures and roles to benefit employees and the business.

TIME ▶︎▶︎ Employees would likely need to spend 2 to 3 hours a week attending the various activities and meetings. Beyond that, time commitment would vary on the extent and frequency of their independent testing of ChatGPT. Business leaders and Champions would likely need to spend between 4 to 5 hours a week planning and hosting the activities, measuring progress, offering support, and doing their own learning/experimentation.

Week 1: 🎬 Introduction to ChatGPT and Sign Up

Objective: Familiarize employees with ChatGPT and have everyone sign up for an account.

1. Host an introductory workshop on ChatGPT, its features, benefits, and potential use cases within the organization.

2. Demonstrate the process of signing up for ChatGPT Plus and provide employees with their individual subscription details.

3. Assign employees to create their ChatGPT accounts and explore the platform.

4. Measurement: Track the number of employees who have successfully signed up and confirm their accounts.

Week 2: 🕵️‍♀️Exploring ChatGPT and Basic Functionality

Objective: Enable employees to become comfortable using ChatGPT and understanding its basic features.

1. Organize team-specific workshops to explore relevant use cases of ChatGPT in different departments (e.g., finance, HR, marketing, and practice teams).

2. Provide employees with a list of basic tasks they can complete using ChatGPT, such as generating text, answering questions, or creating simple outlines.

3. Encourage employees to experiment with these tasks and document their experiences.

4. Measurement: Assess employee comfort level with ChatGPT through brief feedback surveys.

Week 3: 👩‍💻Advanced Functionality and Customization

Objective: Help employees learn advanced features and begin customizing ChatGPT for their specific roles.

1. Host advanced workshops on ChatGPT, focusing on more complex tasks and customization options.

2. Organize group exercises/challenges for employees to identify potential ways ChatGPT can be tailored to their roles.

3. Encourage employees to start creating their "cheat code" or playbook for their specific role, outlining how they plan to use ChatGPT for at least 5% of their work.

Week 4: 🤖Hands-on Implementation

Objective: Begin implementing ChatGPT in daily tasks and workflows.

1. Instruct employees to start integrating ChatGPT into their daily tasks, building, testing, and following their cheat code or playbook.

2. Organize group activities to share experiences, challenges, and successes with implementing ChatGPT.

3. Provide support through designated "ChatGPT Champions" who can assist with any issues or questions.

4. Measurement: Monitor the percentage of work completed using ChatGPT and track employee progress toward the 5% goal.

Week 5: ⚠️Troubleshooting and Optimization

Objective: Address any challenges and optimize the use of ChatGPT in the workplace.

1. Hold a feedback session for employees to discuss their experiences, identify any obstacles, and share best practices.

2. Based on feedback, provide additional training or resources to address specific challenges.

3. Encourage employees to refine their cheat code or playbook to enhance their use of ChatGPT.

4. Measurement: Assess improvements in ChatGPT integration and the progress made toward the 5% goal.

Week 6: 🙌Final Evaluation and Consolidation

Objective: Evaluate the success of the ChatGPT rollout and solidify its integration in the workplace.

1. Host a company-wide presentation, showcasing the success stories and lessons learned from the rollout.

2. Collect employee feedback on their overall experience and the effectiveness of their cheat code or playbook.

3. Recognize and reward employees who have successfully integrated ChatGPT into their workflows.

4. Measurement: Determine the final percentage of work completed using ChatGPT and assess whether the 5% goal has been achieved.

By the end of the six-week rollout plan, the organization should have successfully integrated ChatGPT into the daily workflows of its employees, with each employee using the AI for at least 5% of their work.

To show you this can be done - yes, even in law firms - I met up with Quinn Ross of The Ross Firm in Ontario, Canada. He did something similar to what Akash did and the roadmap I share above. I will be releasing that podcast later this week.

Use Case Zoom Meeting Audio Transcripts Into Key Takeaways & Other Action Items

To make virtual meetings happen, most people use Zoom, Teams, or Google Meet unless they pay for a different service. Many people don't record their virtual meetings, but they are missing out. However, even if they do record them, they likely don't have the time to review them for follow-ups and notes.

But imagine having a tool that can summarize everything said during the meeting for you. That's where ChatGPT comes in, especially when used with Zoom.

To use ChatGPT with Zoom, follow these steps:

STEPS

1. Log into your Zoom Account.

2. Go to Settings in left pane.

3. Click on Recording (in between Meeting and Audio Conferencing)

4. Scroll down about 2/3 of the way and click on Create audio transcript.

5. Don’t forget to click Record on your next meeting.

6. After the meeting you will get two emails - one when the video is ready and the second one when the transcript is ready.

Now we get to ChatGPT.

1. Remember ChatGPT can only handle roughly 2300 - 2600 words.

2. You may need to break up the transcript and run this prompt on each portion. Don’t worry -this is still effective.

▶︎▶︎PROMPT

Please summarize with key points made: [paste the transcription]

Here is what I got back. I used a transcript from a call I had today with a reporter from Law360 who is writing a piece on ChatGPT use by solos and small law firm. ChatGPT did an excellent job with the summary.
Disregard my ending prompt as I was experimenting with it (not good)

You can do other things with a transcript too:

Review the following transcript and let me know if there are any follow-ups or action items please: [paste the transcription]

Please summarize this transcript and write an email sharing it. Call out any major issues, concerns, or points made. [paste the transcription]

For the following transcription, please convert it to a cleaned up and edited narrative so it maintains the structure of the dialogue but is easier to read: [paste the transcription]

News you can Use: 

Use ChatGPT Without Privacy Worries

Private AI has launched PrivateGPT, a privacy layer for large language models like OpenAI's ChatGPT, in response to rising concerns over data protection practices. The tool automatically redacts sensitive and personally identifiable information (PII) from user prompts, allowing users to query the model without exposing their data to OpenAI. Key takeaways from the article include:

1. Private AI's CEO, Patricia Thaine, emphasizes the importance of complying with data protection laws, such as GDPR and HIPAA, stating that generative AI will only be adopted if there are adequate tools to ensure its safe use.

2. PrivateGPT's release highlights the growing importance of data anonymization techniques for organizations seeking to utilize AI solutions like ChatGPT while minimizing exposure to third parties.

Déjà Vu - Use ChatGPT Without Privacy Worries

Microsoft plans to offer a privacy-focused version of ChatGPT to banks, healthcare providers, and other large organizations to address concerns about data leaks and regulatory compliance.

• The privacy-focused ChatGPT would run on dedicated servers, separate from other users, which could prevent inadvertent data leaks and stop sensitive data from being used to train the language model.

• It is speculated that this version may cost up to 10 times more than the regular version.

• OpenAI is also planning a similar product in the coming months, but Microsoft's version will use the company's Azure platform as its backend. This may lead to competition between the two companies for some users.

News you can Lose: 

IBM’s Genius Strategy: Use AI as the Ultimate Scapegoat?

IBM may have found the perfect cover for their latest hiring pause. While the company insists AI is responsible for the decision, I have my doubts. After all, it's much easier to blame a computer than face the harsh reality of a plummeting stock chart.

Ladies and gentlemen, feast your eyes on Exhibit A: IBM's stock chart for this year (see below). As you can see, it's a thrilling roller coaster ride that only trends down, a nightmare for any thrill-seeker. With such a dreadful performance, it's only natural to question the real motivation behind IBM's hiring freeze.

But wait! There's more! Enter the brilliant master plan: use AI as a smokescreen. By blaming their artificially intelligent assistant, IBM can avoid admitting that they're struggling to keep their heads above water. Genius, isn't it?

Let's be honest, if we had an AI to pin our problems on, we'd probably do it too. And so, we tip our hats to IBM for their cunning strategy. After all, who needs accountability when you've got an AI to do the dirty work for you?

In the Meme Time: 

Many people think that because Generative AI is technology, that is must be perfect otherwise we should not use it. But we forget that WE are not perfect!

That's a wrap for today. Stay thirsty & see ya next time! If you want more, be sure to follow me on Twitter and LinkedIn.

DISCLAIMER: None of this is legal advice. This newsletter is strictly educational and is not legal advice or a solicitation to buy or sell any assets or to make any legal decisions. Please /be careful and do your own research.