Lakhasly

Risk ID

Risk Description

Probability

Data Availability and Quality: Limited or poor- quality reviews may affect the effectiveness of summaries.Establish user feedback channels for improvement.Regularly train and fine-tune the model with relevant contextual data

Aliah

Contingency

Develop fallback strategies to provide alternative information or prompt users to seek additional sources.High

Impact

Severity

Owner

Mitigation

High

Medium

Ruba

R2

Medium

High

Medium

Atheer

R3

High

High

Raghad

R4

Low

High

High

Ensure a diverse dataset with high-quality reviews.Collaborate with Google Maps team to develop mechanisms to identify and filter out fake reviews

Establish a process for monitoring and tracking changes in the Google Maps API and review structure.Provide disclaimers to users about the limitations of the summarization system and encourage them to read the full reviews for detailed information

R1

Medium

Nouf

High

HighLanguage and Cultural Variations: Reviews in different languages and cultural nuances may lead to inaccurate or insensitive summaries.Develop a system to verify and validate reviews.

Risk ID

Risk Description

Probability

Data Availability and Quality: Limited or poor- quality reviews may affect the effectiveness of summaries.

Language and Cultural Variations: Reviews in different languages and cultural nuances may lead to inaccurate or insensitive summaries.

Data Bias: Reviews may contain biased content or fake reviews, leading to misleading summaries.

System Maintenance and Updates: Changes in Google Maps and its review structure may result in outdated or incorrect summaries.

R5

High

Contextual Understanding: ChatGPT may struggle to grasp the context of reviews, leading to inappropriate or inaccurate summaries.

High

Impact

Severity

Owner

Mitigation

High

Medium

Ruba

R2

Medium

High

Medium

Atheer

R3

High

High

Raghad

R4

Low

High

High

Ensure a diverse dataset with high-quality reviews.

Implement data cleaning processes to filter out unreliable or irrelevant reviews.

Implement language detection and translation mechanisms to handle multiple languages. Train ChatGPT on diverse cultural contexts and provide context- awareness guidelines.

Implement bias detection algorithms to identify and mitigate biased content. Collaborate with Google Maps team to develop mechanisms to identify and filter out fake reviews

Establish a process for monitoring and tracking changes in the Google Maps API and review structure. Regularly update the system to adapt to these changes.

Implement contextual understanding techniques, including sentiment analysis, context-aware embeddings, and dialogue history analysis. Regularly train and fine-tune the model with relevant contextual data

Aliah

Contingency

Develop fallback strategies to provide alternative information or prompt users to seek additional sources.

Regularly monitor and evaluate summaries for potential biases and cultural insensitivity.

Establish user feedback channels for improvement.

Develop a system to verify and validate reviews. Regularly update the model with new data to improve its ability to identify biases.

Maintain a backup system or alternative data sources to provide information in case of disruptions or changes in the Google Maps API.

Provide disclaimers to users about the limitations of the summarization system and encourage them to read the full reviews for detailed information

R1

Medium

Nouf

High

High