top of page

Safe & Responsible AI Risk Assessment

MENA REGION'S 1ST AI AUDITING & CERTIFICATION SYSTEM.

​

FOR SAFE, SECURE, COMPLIANT & TRUSTWORTHY AI SOLUTIONS.

​

SAIF CHECK LOGO

WILL YOUR BUSINESS AI SUCCEED?

- PREVENT PENALTIES [​​Regulatory Compliance]

- PROTECT PRIVACY [No Dataset Sharing] 

- PREVENT FAILURES [Data and Model Drift]

​

01

+ FIX BIAS [Dataset Imbalances]

+ BE RELIABLE [Model Performance Metrics]

+ BE TRANSPARENT [Explainable Blackboxes]

+ USER SAFETY [Risk Mitigation]

02

+ CERTIFICATION TO GAIN CUSTOMER TRUST

+ ANALYTICS TO UNDERSTAND BLACKBOX

+ SOLUTIONS TO FIX VULNERABILITIES

03

GET SAIF CHECKED TO KNOW TRUSTWORTHY AI.

BIAS DETECTION

  • Detect & correct AI model biases

  • Prevent end-user complaints

  • Improve customer satisfaction

REGULATORY COMPLIANCE

  • Stay up-to-date with regional compliance

  • Prevent breach penalties

  • Improve customer confidence

SAFETY & SECURITY

  • Detect security risks

  • Identify solutions

  • Improve customer safety

PERFORMANCE

  • Detect algorithm weaknesses

  • Optimize algorithm selection

  • Improve product quality

SUSTAINABILITY

  • Measure environmental impact

  • Prove environmental friendliness

  • Contribute to ESGs & carbon neutrality

INTERPRETABILITY

  • Visualize algorithm performance metrics

  • Produce explainable interfaces

  • Improve customer understanding 

​Mitigation not Litigation.

Reduce Your Risks.

RESPONSIBLE AI RISK ASSESSMENT

COMPLIANCE 

EU, US, ASIA

SAFETY

Solution's Regulatory Compliance

Qualitative & Quantitative evaluation rubrics with score report.

​

Includes principles of Responsible AI, Environmental Sustainability & Safety.

SAFE CHECK RESPONSIBLE AI
SAIF CHECK REPORTING

EXPLAINABLE AI

INTERPRET

For Executive Decision Making

TRANSPARENCY

Risk Aversion

Explainable AI algorithms enable human users to comprehend and trust the results and output generated by machine learning models, fostering transparency and understanding in AI-powered decision-making

LLM HALLUCINATION RISKS

MITIGATE

Risks of Error

PROTECT

Reputation, Product, Consumers

​

Evaluating hallucinations is crucial for ensuring the reliability and trustworthiness of LLM-generated outputs.

 

Achieved by inspection, fact-checking, adversarial testing, and fine-tuning techniques to improve accuracy.

SAFE CHECK LLM HALLUCINATION EVALUATION

SAIF CHECK

NUMBERS

90%

Of companies use AI for competitive edge over rivals

(MIT Sloan)

7%

Just 7% of people trust chatbots responses

(Accenture)

76% 

76% of CEOs worry about limited transparency & skewed biases in the AI market

(PWC)

84%

CEOs believe that Responsible AI should be a top management priority but cannot find RAI talent

(MIT Sloan)

Proudly Affiliated With

bottom of page