Human X Ai - Data Leak Risk and GPT Compliance Course
Data Leak Risk and Mitigation GPT Compliance Training
Note: This is an open version on top of which jncb human x ai course is based.
There’s thus far, no sensible artificial intelligence without responsible human intelligence at the helm. Human x Ai series empowers staff to responsibly make use of Ai while maximizing value, and minimizing risk.
Course: 1 and a third short sections, with a single concise quiz in total.
Section 1:
Module 1 – Data leak risk (via ChatGPT etc) and world record usage...
Module 2 – Data leak Risk (via Chat GPT etc) & consequences
Module 3 – Risk Mitigation and Generative Pretrained Transformer (GPT) alternatives (hybrid)
Module 4 – (Optional) -Sample Generative Pretrained Transformer (GPT) Wrapper, make interface over strong Generative Pretrained Transformer alternatives.
Module 5 – Virus! Fake ChatGPT apps!
Quiz
Section 2:
End note and Resources
Intro
Hey there responsible employee!
I'm Synth Aeon, an A-i creation of author Mr. Bennett, powered by neural networks.
You can check out the github link in the Resources section of the intro in the lecture, to try the open source 3d humanoid assistant by Mr. Bennett, although it's not a requirement for this course.
Today I will discuss responsible GPT usage.
Companies need to ensure they don't leak sensitive data to GPT because:
1. Companies like banks must remain compliant, and secure customer data.
2. Countries here like Jamaica have data protection laws in place.
However, there are known risks outside of GPT’s accuracy that may fail in some minor cases, including data protection risks:
- ChatGPT Leaks credit card info
- Samsung bans ChatGPT after workers input sensitive data into system
We don’t want either of the above scenarios; we don’t want to leak data, and we don’t want to ban GPT, given its benefits!
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Hey ,
Here's my bio
I want to help convert Jamaica, Africa, and by extension, the universe into an Ai 1st cosmos/ecosystem, a type of what I name as a "neuroOmnitude", "neuroCeaseless", or "neuroSolum" by contributing to artificial general and superintelligence development.
1. Data shows that Ai is reasonably eating software quickly. I also work to imbue physical devices with Ai, like my full scale self driving car project[1] and hope to help AICE increase incorporation of Ai-imbued physical devices.
2. I work as an Ai coder/teacher by night, and a corporate coffee to code converter in the day. (See my curriculum, including a book I wrote) I’m also working on a novel type of deep learning, called “Supersymmetric Deep Learning”.[2]
3. I like to write books[3][4], related to neural networks, and teaching[5] the aforesaid. I also write local newspaper articles on Ai.[6][7]:
References:
[1] Dio Lucciola Self driving car project/Sketchfab
[2] Supersymmetric Deep Learning, a new branch of Ai:
[3] Artificial neural network for kids/Research Gate:
[4] Spread your brain out ai Diploma book:
[5] Neural Network Diploma curriculum:
[6] Local newspaper A: Gleaner: "Utilizing ai could aid economic stimulation"
[7] Local newspaper B: Gleaner: "Why Jamaica needs a minister of ai"
