AI for Content Moderation and Legal Applications
AI for Content Moderation and Legal Applications
The rules and boundaries we encounter in life are omnipresent, guiding our actions and decisions at every turn. From understanding the intricacies of a contract to deciphering a new manual, these "dos and don'ts" shape our experiences and influence our choices.
In my perspective, truly understanding these rules – playing the game by its guidelines – is a form of mastery. It's about navigating within the specified boundaries without overstepping, a skill that mirrors creativity in its essence. As the adage goes, "The young man knows the rules, but the old man knows the exceptions."
In the realm of digital platforms, moderation serves as a pivotal set of guidelines, ensuring the health and integrity of online communities.
OpenAI recently introduced the Content Moderation features for GPT-4, here the AI space could help and define the importance to recognize clearly the pros and cons of a new contract for example.
Moreover, a couple of days ago OpenAI's released the “content moderation”, I tested a small application waiting for the CodeInterpreter’s API release.
What is GPT-4 Content Moderation
GPT-4 can interpret content policy documentation, adapt to policy updates, and provide more consistent labelling.
This approach aims to create a future where AI assists in moderating online traffic according to platform-specific policies, relieving the burden on human moderators and not only.
The process of developing and customizing content policies is significantly accelerated, reducing the time from months to hours.
The process
The iterative process involves creating a golden set of data based on policy guidelines, having GPT-4 assign labels to the dataset, and refining the policy based on discrepancies between GPT-4's judgments and human judgments.
This approach offers benefits such as more consistent labels, a faster feedback loop for policy updates, and a reduced mental burden on human moderators, however, it is important to monitor and refine the output of language models to address biases and ensure the involvement of humans in the moderation process.
Given a contract,
I would like to know and verify some important aspect
Through CodeIntepreter I submit a Tenancy Contract Details, update in some areas, afterwise developed some questions for the AI:
given the tenancy contract, I would like to know
1) How much is the monthly rent
2) How long is the contract
3) How long before I have to give notice
4) There is any expiration?
Let's start by extracting the content from the provided document. Once we've done that, I'll review the content to answer your questions.
Based on the extracted content from the document, we can answer your questions:
How much is the monthly rent?
The monthly rent is £2,000 per calendar month.
How long is the contract?
The contract is for a term of 24 months.
How long before I have to give notice?
The extracted content doesn't seem to explicitly mention the notice period. We may need to continue reading further sections of the document to find this information.
Is there any expiration?
The contract is set for a term of 24 months starting from the 1st of August. This implies it will expire 24 months after this date, unless otherwise specified in the document.
The complexity of the task is to break the rules and absorb the information, from a set of paragraphs recompose and have a clear if all the questions possible.
Actually the question “How long before I have to give Notice”, is well mentioned in the contract. The only point the AI still hasn’t broken at this stage is all the documents.
So I invited the AI to give more context and continue the examination of the document:
From the contexts:
"... 6. FORFEITURE... The court will only order the Tenant to leave the Property before the expiry of the Term if one of the following reasons is proved..."
This part of the document lists various grounds under which the Landlord can seek a court order for possession. It provides reasons related to unpaid rent, breaches of tenancy obligations, and other conditions, but does not specifically address the Tenant's notice period for ending the tenancy.
"... 8. TERMINATION... 8.1 The Landlord may give not less than << 2 >> months prior written notice at any time to end this Agreement provided that such notice must expire on the last day of a rental period and must not expire sooner than << 6>> months from the start of the tenancy. 8.2 The Tenant may give not less than << 2 >> months prior written notice at any time to end this Agreement provided that such notice must expire on the last day of a rental period and must not expire sooner than << 6>> months from the start of the tenancy."
This section, under "Termination," provides the answer to your question about the notice period:
The Landlord must give at least 2 months' prior written notice to end the agreement.
The Tenant must also give at least 2 months' prior written notice to end the agreement.
For both the Landlord and the Tenant, this notice must expire on the last day of a rental period and cannot expire earlier than 6 months from the start of the tenancy.
With this, we've identified the specific notice period required by the Tenant to end the tenancy.
Notice limit date
if today is the 18 of August, by which date will I must give notice?
Given that your contract length is 24 months starting from the 18th of August 2023, you must give notice by the 8th of June 2025 to meet the 2-month notice requirement before the end of your contract.
Rent cost
How much will I spend in total?
Over the duration of the 24-month contract, you will spend a total of £48,000 in rent.
Professional cleaning
do I have to provide professional cleaning at the end of the tenancy?
Based on the extracted content from the document, there doesn't appear to be a specific mention of "professional cleaning." Thus, it seems you are not explicitly required to provide professional cleaning at the end of the tenancy. However, it's always a good idea to review the entire tenancy agreement or consult with your landlord to ensure you meet all the requirements specified in the contract.
Late payment fee
How much is the late payment fee and how many days later will be applied?
The late payment fee is an interest of 3% above the Bank of England’s base rate. This fee will be applied to any rent that is more than 14 days overdue.
Repossession
In which cases the landlord can have possession of the flat?
The landlord can seek possession of the flat under the following grounds:
If, both at the date of service of notice of the landlord’s intention to commence proceedings for possession and at the time of the court hearing:
There is at least eight weeks’ rent unpaid where rent is payable weekly or fortnightly.
There is at least two months’ rent unpaid if rent is payable monthly.
At least one quarter’s rent is more than three months in arrears if rent is payable quarterly.
At least three months’ rent is more than three months in arrears if rent is payable yearly.
There is some rent outstanding both at the date of service of notice of the landlord’s intention to commence proceedings and on the date on which proceedings are begun.
The tenant has persistently delayed paying rent.
Any obligation of the tenancy has been broken or not performed.
The condition of the property or the common parts has deteriorated due to the behavior of the tenant or any other person living there.
The tenant or someone living at or visiting the property:
Has been guilty of conduct which is or is likely to cause a nuisance or annoyance to neighbors.
Has been convicted of using the property or allowing it to be used for immoral or illegal purposes or has committed an arrestable offense in, or in the locality of, the property.
The condition of any furniture has deteriorated because it has been ill-treated by the tenant or someone living at the property.
The landlord was induced to grant the tenancy by a false statement made knowingly or recklessly by either the tenant or a person acting at the tenant’s instigation.
These are the grounds mentioned in the document under which the landlord can seek possession of the property. However, it's worth noting that the landlord typically has to go through a legal process, including obtaining a court order, to enforce these grounds.Nuisance Clauses
There are any nuisance or annoyance clauses?
"4.5 Use of the Property... 4.5.2 Not to do anything on the Property which may be a nuisance to or cause damage or annoyance to the Landlord or the tenants or occupiers of any adjoining property."
This clause states that the Tenant should not engage in activities on the property that may cause a nuisance or annoyance to the Landlord, other tenants, or neighbors of adjoining properties.
"Ground 14: that the tenant or someone living at or visiting the property (a) has been guilty of conduct which is or is likely to cause a nuisance or annoyance to neighbours or (b) has been convicted of using the property or allowing it to be used for immoral or illegal purposes or has committed an arrestable offence in, or in the locality of, the property."
This ground for possession specifies that if the Tenant or anyone visiting the property engages in behavior causing nuisance or annoyance to neighbors, or uses the property for illegal or immoral purposes, the Landlord has grounds to seek possession.
These are the specific clauses and grounds related to "nuisance" or "annoyance" in the tenancy agreement.
Ideas to develop software, where given some rules the AI can say if it is respected the condition or not
Contract Verification:
Functionality: Upload a contract or agreement, and the AI identifies whether specific conditions or clauses are present.
Application: Legal departments and lawyers can use it to quickly check contracts for necessary terms or for terms that are against their standard practices.
Content Moderation:
Functionality: Enter a set of moderation rules (e.g., no hate speech, no personal information, etc.). The AI checks user-generated content against these rules and flags violations.
Application: Online forums, social media platforms, or any site with user-generated content.
Code Review Assistant:
Functionality: Input coding guidelines or standards, and the AI reviews submitted code to check if it adheres to these standards.
Application: Software development teams ensuring code quality and standardization.
Financial Transactions Checker:
Functionality: Set financial transaction rules (e.g., no transactions above $10,000 without additional verification). The AI reviews transaction logs and highlights exceptions.
Application: Banking and financial institutions for fraud detection and compliance.
Environmental Compliance Monitor:
Functionality: Input environmental guidelines (e.g., emissions limits). The AI reviews data from sensors or reports to flag violations.
Application: Industries and factories to ensure they meet environmental standards.
Healthcare Protocol Verifier:
Functionality: Define healthcare protocols (e.g., patient checkup routines, sanitation practices). The AI checks logs or reports to identify non-compliance.
Application: Hospitals and clinics ensuring adherence to best practices and regulations.
Educational Content Checker:
Functionality: Set guidelines for educational content (e.g., no biased perspectives, age-appropriate content). The AI reviews educational materials against these rules.
Application: Schools, colleges, and e-learning platforms.
Building and Architecture Compliance:
Functionality: Input building codes or architectural standards, and the AI reviews building plans or 3D models for compliance.
Application: City planners or construction companies ensuring projects meet local regulations.
Automated Game Referee:
Functionality: Define game rules, and the AI monitors gameplay (either video feeds or game logs) to call out violations.
Application: Competitive gaming or sports broadcasts.
HR and Workplace Policy Monitor:
Functionality: Set workplace policies (e.g., mandatory break times, no emails after work hours). The AI reviews employee activity logs or communications to ensure adherence.
Application: Companies ensuring a healthy work environment and policy compliance.
NLP API for deeper analysis software examples
For this example, let's assume we want to check if the contract contains clauses related to "Confidentiality" and "Termination".
<?php
// Sample contract text (for demonstration purposes)
$contractText = "This is a sample contract. It includes a Confidentiality clause and a Termination clause.";
// Clauses to check in the contract
$clausesToCheck = ["Confidentiality", "Termination"];
// Function to verify contract against the clauses
function verifyContract($contract, $clauses) {
foreach ($clauses as $clause) {
if (strpos($contract, $clause) === false) {
// If one of the clauses isn't found, return false
return false;
}
}
// All clauses were found
return true;
}
// Check the contract
$isContractValid = verifyContract($contractText, $clausesToCheck);
// Output the result
if ($isContractValid) {
echo "The contract is valid.\n";
} else {
echo "The contract is missing one or more required clauses.\n";
}
?>