Artificial Intelligence Testing

Tech Assurance provides artificial intelligence QA testing services, helping businesses ensure the reliability and efficiency of their systems, and their compliance with ethical principles and industry standards.

Artificial Intelligence Testing

Benefits of Artificial Intelligence QA Testing With Tech Assurance

Audit

Audit

Ensuring that AI and machine learning (ML) solutions meet all specifications.

Maintaining

Maintaining

Maintaining the speed and stability of AI services under all conditions and various workloads.

Detection of vulnerabilities

Detection of vulnerabilities

Enhancing software security by identifying data protection vulnerabilities and fixing bugs.

Guarantee

Guarantee

Guaranteeing the fairness of AI system operations for all users, regardless of race or gender.

Speed

Speed

Timely delivery of testing results and services at a competitive price.

Flexibility in Task Execution

Flexibility in Task Execution

Applying advanced methods to detect errors and improve AI interaction.

Tech Assurance Artificial Intelligence Testing Services

Features:

Ensures the AI system operates according to its specified requirements.

Purpose:

To verify that the AI system works as expected and meets its functional specifications.

Example:

Testing if a virtual assistant correctly schedules appointments based on user commands.

Features:

Assesses the speed, responsiveness, and stability of the AI system under various conditions.

Purpose:

To ensure the AI system performs efficiently and can handle expected workloads without degradation in performance.

Example:

Measuring the response time of an AI-driven customer service bot during peak usage hours.

Features:

Evaluates the AI system’s ability to protect data.

Purpose:

To identify and mitigate vulnerabilities, ensuring the system can prevent unauthorized access and protect sensitive information.

Example:

Testing an AI-based fraud detection system’s defenses against hacking attempts.

Features:

Examines the AI system’s interface and overall user experience.

Purpose:

To ensure the system is intuitive, user-friendly.

Example:

Assessing how easily users can navigate.

Features:

Checks for biases in AI algorithms and ensures decisions made by the system are fair and unbiased.

Purpose:

To detect and eliminate discriminatory patterns, ensuring the system treats all users equitably.

Example:

Analyzing an AI hiring tool to ensure it doesn’t favor candidates based on race, gender, or other protected attributes.

Features:

Ensures the AI system can provide understandable and interpretable explanations for its decisions and actions.

Purpose:

To build trust and transparency by allowing users to understand how and why the AI system makes decisions.

Example:

Providing a clear rationale for why an AI model recommended a particular medical treatment.

Features:

Assesses the AI system’s resilience to adversarial inputs and its ability to handle unexpected or noisy data.

Purpose:

To ensure, the system maintains performance and accuracy under challenging conditions.

Example:

Testing an image recognition system’s ability to correctly identify objects in distorted or manipulated images.

Features:

Verifies that the AI system adheres to relevant laws, regulations, and ethical guidelines.

Purpose:

To ensure the system meets legal and industry standards, protecting both the organization and its users.

Example:

Ensuring an AI healthcare application complies with data privacy laws like GDPR or HIPAA.

QA Artificial Intelligence Tester By Tech Assurance

Senior QA

5 Senior QA Automation/ Manual Engineers

Middle QA

6 Middle Automation/ Manual Engineers

Front-End Developer

Front-End Developer

Back-End Developer

Back-End Developer

Designers

2 Designers

DevOps Engineer

DevOps Engineer

Hire QA artificial intelligence tester and your project will be reliable!

Why Choose AI Testing Service From Tech Assurance

Product Orientation

TA deeply studies client requirements and implements unique ideas to add value to the interaction.

Efficiency

We quickly identify and fix bugs at any stage of the project.

Intellectual Property Protection

IP rights remain yours, and all ideas are protected by non-disclosure agreements.

Qualified Testers

Our specialists have the necessary qualifications and experience with artificial intelligence in QA.

What Is AI Testing, and How Does It Work?

Testing verifies how functional, productive, secure, user-friendly, and reliable the system is under various conditions. Additionally, it is important to ensure the software's fairness, data interpretability, and compliance with ethical principles, legal, and industry standards.

Advanced tools accelerate test creation, increase coverage, and help identify many more defects than a human could.

In AI testing, our team performs:

  1. Selecting tools according to goals and requirements.
  2. Conducting all necessary AI software tests.
  3. Analyzing data and preparing reports.
  4. Additional project assessment after bug fixes.
Conducting AI testing ensures the quality of your solution.

Artificial Intelligence Testing From Tech Assurance at a Glance

Tech Assurance offers all types of artificial intelligence testing (Functional, Performance, Security, Usability, etc.), as well as expert consulting. We follow a defined sequence, taking into account the unique features of the project.

Typically, the AI testing company process consists of the following stages:

Assessing goals, requirements, and project specifics.

Creating a test plan/test strategy.

Selecting tools and testing methodologies.

Performing work according to the contract.

Documenting and analyzing results.

Releasing the product to the target market.

Tech Assurance Frameworks for Artificial Intelligence Testing

Tool
Description
Functional Testing

Selenium

Cucumber

Automation of web applications for functional testing purposes

Behavior-driven development (BDD) and creating tests in plain language

Performance Testing

Apache JMeter

Gatling

Load testing and performance measurement of web applications

Load testing for analyzing application performance

Security Testing

OWASP ZAP

Burp Suite

Finding vulnerabilities in web applications

Live, moderated, and unmoderated usability tests.

Usability Testing

UserTesting

Lookback

Gathering feedback from real users

Live, moderated, and unmoderated usability tests.

Bias and Fairness Testing

AI Fairness 360

Detecting and mitigating bias in ML models

Explainability Testing

LIME

SHAP

Explaining predictions of any ML classifier

Explaining the output of ML models

Robustness Testing

Adversarial Robustness Toolbox

Foolbox

Assessing and improving the robustness of ML models against adversarial attacks

Creating adversarial examples that can test the robustness of ML models

Compliance Testing

Aparavi

TrustArc

Assisting with compliance and data privacy

Assisting with compliance and data privacy

Frequently Asked Questions

To ensure that the software functions correctly and meets the requirements set at the project, business, and industry levels.

Without proper testing, AI systems may make inaccurate decisions or fail to perform tasks, potentially leading to negative consequences.

Tech Assurance is a leader in AI testing for businesses. Our impeccable reputation is built on extensive experience, high confidentiality, and flexible collaboration.

Tech Assurance Recent Projects

Zaheed IOS / Android mobile application

We developed an End-to-end automation testing process for entire applications and prepared the apps for release

Zaheed IOS / Android mobile application

Eclipse scheduling web application

We developed manual test strategy for Integration and Unit tests

Eclipse scheduling web application

What Tech Assurance clients say

Eugene from Tech Assurance is a very experienced QA engineer and, besides having good skills, also has a great attitude. Eugene's true passion for QA is undeniable, and it was fantastic to work with in every way. I would hire him again without hesitation. Thank you, Tech Assurance team!

Gergely Csonka
Gergely Csonka
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