Perceptive Ai
Perceptive Ai
Perceptive Ai
Perceptive Ai
“PerceptiveAI ensures fairness in AI by detecting, analyzing, and mitigating biases. We provide transparency and actionable insights, helping create inclusive, ethical, and unbiased AI solutions for a better future”.
“PerceptiveAI ensures fairness in AI by detecting, analyzing, and mitigating biases. We provide transparency and actionable insights, helping create inclusive, ethical, and unbiased AI solutions for a better future”.
“PerceptiveAI ensures fairness in AI by detecting, analyzing, and mitigating biases. We provide transparency and actionable insights, helping create inclusive, ethical, and unbiased AI solutions for a better future”.
“PerceptiveAI ensures fairness in AI by detecting, analyzing, and mitigating biases. We provide transparency and actionable insights, helping create inclusive, ethical, and unbiased AI solutions for a better future”.
Project Context
Project Context
Project Context
Project Context
Project Context
Winter 2024- 3 months
Winter 2024- 3 months
Winter 2024- 3 months
Winter 2024- 3 months
Winter 2024- 3 months
Data & Socity - (UE) MA
Data & Socity - (UE) MA
Data & Socity - (UE) MA
Data & Socity - (UE) MA
Data & Socity - (UE) MA
Team - Ashish, (Tina - Mentor)
Team - Ashish, (Tina - Mentor)
Team - Ashish, (Tina - Mentor)
Team - Ashish, (Tina - Mentor)
Team - Ashish, (Tina - Mentor)
My Role
My Role
My Role
My Role
My Role
UX/UI design
UX/UI design
UX/UI design
UX/UI design
UX/UI design
Research on Concept
Research on Concept
Research on Concept
Research on Concept
Research on Concept
Concept Design
Concept Design
Concept Design
Concept Design
Concept Design
Project Deliverable
Project Deliverable
Project Deliverable
Project Deliverable
Project Deliverable
Research Findings
Research Findings
Research Findings
Research Findings
Research Findings
Concept Mock Ups
Concept Mock Ups
Concept Mock Ups
Concept Mock Ups
Concept Mock Ups
High Fidelity Interface
High Fidelity Interface
High Fidelity Interface
High Fidelity Interface
High Fidelity Interface
Challange
Challange
Challange
Challange
Challange
"For this assignment, my challenge was to design a new AI and showcase its functionality and impact. I needed to define what the AI does, how it works, and the problem it aims to solve."
"For this assignment, my challenge was to design a new AI and showcase its functionality and impact. I needed to define what the AI does, how it works, and the problem it aims to solve."
"For this assignment, my challenge was to design a new AI and showcase its functionality and impact. I needed to define what the AI does, how it works, and the problem it aims to solve."
"For this assignment, my challenge was to design a new AI and showcase its functionality and impact. I needed to define what the AI does, how it works, and the problem it aims to solve."
"For this assignment, my challenge was to design a new AI and showcase its functionality and impact. I needed to define what the AI does, how it works, and the problem it aims to solve."
Design Problem
Design Problem
Design Problem
Design Problem
Design Problem
Bias in AI Models : AI systems often inherit biases from their training data, leading to unfair and inaccurate outcomes.
Lack of Transparency : Many AI models operate as black boxes, making it difficult to identify and address biases.
Stress-Relief Options : Current methods fail to capture user interest effectively.
Real-World Impact: Biased AI can perpetuate inequalities, affecting marginalized communities in areas like hiring, law enforcement, and healthcare.
Need for Bias Mitigation : Mental wellness solutions often lack inclusivity and ease of use.
Bias in AI Models : AI systems often inherit biases from their training data, leading to unfair and inaccurate outcomes.
Lack of Transparency : Many AI models operate as black boxes, making it difficult to identify and address biases.
Stress-Relief Options : Current methods fail to capture user interest effectively.
Real-World Impact: Biased AI can perpetuate inequalities, affecting marginalized communities in areas like hiring, law enforcement, and healthcare.
Need for Bias Mitigation : Mental wellness solutions often lack inclusivity and ease of use.
Bias in AI Models : AI systems often inherit biases from their training data, leading to unfair and inaccurate outcomes.
Lack of Transparency : Many AI models operate as black boxes, making it difficult to identify and address biases.
Stress-Relief Options : Current methods fail to capture user interest effectively.
Real-World Impact: Biased AI can perpetuate inequalities, affecting marginalized communities in areas like hiring, law enforcement, and healthcare.
Need for Bias Mitigation : Mental wellness solutions often lack inclusivity and ease of use.
Bias in AI Models : AI systems often inherit biases from their training data, leading to unfair and inaccurate outcomes.
Lack of Transparency : Many AI models operate as black boxes, making it difficult to identify and address biases.
Stress-Relief Options : Current methods fail to capture user interest effectively.
Real-World Impact: Biased AI can perpetuate inequalities, affecting marginalized communities in areas like hiring, law enforcement, and healthcare.
Need for Bias Mitigation : Mental wellness solutions often lack inclusivity and ease of use.
Tackling the Problem
Tackling the Problem
Tackling the Problem
Tackling the Problem
Tackling the Problem
Research
Bias Detection
Bias Detection
Bias Detection
Bias Detection
Bias Detection
PerceptiveAI identifies biases in AI models by analyzing training data and algorithmic patterns.
PerceptiveAI identifies biases in AI models by analyzing training data and algorithmic patterns.
PerceptiveAI identifies biases in AI models by analyzing training data and algorithmic patterns.
PerceptiveAI identifies biases in AI models by analyzing training data and algorithmic patterns.
PerceptiveAI identifies biases in AI models by analyzing training data and algorithmic patterns.
Bias Analysis
Bias Analysis
Bias Analysis
Bias Analysis
Bias Analysis
It provides comprehensive visual reports to help users understand the nature and sources of bias.
It provides comprehensive visual reports to help users understand the nature and sources of bias.
It provides comprehensive visual reports to help users understand the nature and sources of bias.
It provides comprehensive visual reports to help users understand the nature and sources of bias.
It provides comprehensive visual reports to help users understand the nature and sources of bias.
Bias Mitigation
Bias Mitigation
Bias Mitigation
Bias Mitigation
Bias Mitigation
The system suggests actionable steps to reduce biases, ensuring fairer AI outcomes.
The system suggests actionable steps to reduce biases, ensuring fairer AI outcomes.
The system suggests actionable steps to reduce biases, ensuring fairer AI outcomes.
The system suggests actionable steps to reduce biases, ensuring fairer AI outcomes.
The system suggests actionable steps to reduce biases, ensuring fairer AI outcomes.
Transparency & Accountability
Transparency & Accountability
Transparency & Accountability
Transparency & Accountability
Transparency & Accountability
By offering real-time monitoring and insights, PerceptiveAI promotes ethical AI usage and builds trust
By offering real-time monitoring and insights, PerceptiveAI promotes ethical AI usage and builds trust
By offering real-time monitoring and insights, PerceptiveAI promotes ethical AI usage and builds trust
By offering real-time monitoring and insights, PerceptiveAI promotes ethical AI usage and builds trust
By offering real-time monitoring and insights, PerceptiveAI promotes ethical AI usage and builds trust
Impact of AI bais
Impact of AI bais
Impact of AI bais
Impact of AI bais
Impact of AI bais
The American Civil Liberties Union (ACLU) uncovered significant AI bias in Amazon's Recognition, a facial recognition technology used by police and court departments across the US. During testing, the software incorrectly matched 28 members of Congress with mugshots of criminals, with 40% of these false matches being people of color. This incident highlights how AI can perpetuate racial bias, leading to unfair and potentially harmful outcomes.
The American Civil Liberties Union (ACLU) uncovered significant AI bias in Amazon's Recognition, a facial recognition technology used by police and court departments across the US. During testing, the software incorrectly matched 28 members of Congress with mugshots of criminals, with 40% of these false matches being people of color. This incident highlights how AI can perpetuate racial bias, leading to unfair and potentially harmful outcomes.
The American Civil Liberties Union (ACLU) uncovered significant AI bias in Amazon's Recognition, a facial recognition technology used by police and court departments across the US. During testing, the software incorrectly matched 28 members of Congress with mugshots of criminals, with 40% of these false matches being people of color. This incident highlights how AI can perpetuate racial bias, leading to unfair and potentially harmful outcomes.
The American Civil Liberties Union (ACLU) uncovered significant AI bias in Amazon's Recognition, a facial recognition technology used by police and court departments across the US. During testing, the software incorrectly matched 28 members of Congress with mugshots of criminals, with 40% of these false matches being people of color. This incident highlights how AI can perpetuate racial bias, leading to unfair and potentially harmful outcomes.
The American Civil Liberties Union (ACLU) uncovered significant AI bias in Amazon's Recognition, a facial recognition technology used by police and court departments across the US. During testing, the software incorrectly matched 28 members of Congress with mugshots of criminals, with 40% of these false matches being people of color. This incident highlights how AI can perpetuate racial bias, leading to unfair and potentially harmful outcomes.
Survey Insights
Survey Insights
Survey Insights
Survey Insights
Survey Insights
Total 24 People
Total 24 People
Total 24 People
Total 24 People
Total 24 People
Working Professional / Students
Working Professional / Students
Working Professional / Students
Working Professional / Students
Working Professional / Students
Trust in Ethical AI : 80% of respondents said they would trust AI more if companies actively used bias detection and mitigation strategies.
Need for Transparency : 84% of users stated that AI decision-making lacks transparency, making it difficult to identify and correct biases.
Demand for Bias Detection Tools :71% of participants believed that organizations should implement AI bias detection and mitigation tools to ensure fairness.
Preference for Actionable Insights: 68% of users preferred a tool that not only detects bias but also provides clear steps to mitigate it.
Trust in Ethical AI : 80% of respondents said they would trust AI more if companies actively used bias detection and mitigation strategies.
Need for Transparency : 84% of users stated that AI decision-making lacks transparency, making it difficult to identify and correct biases.
Demand for Bias Detection Tools :71% of participants believed that organizations should implement AI bias detection and mitigation tools to ensure fairness.
Preference for Actionable Insights: 68% of users preferred a tool that not only detects bias but also provides clear steps to mitigate it.
Trust in Ethical AI : 80% of respondents said they would trust AI more if companies actively used bias detection and mitigation strategies.
Need for Transparency : 84% of users stated that AI decision-making lacks transparency, making it difficult to identify and correct biases.
Demand for Bias Detection Tools :71% of participants believed that organizations should implement AI bias detection and mitigation tools to ensure fairness.
Preference for Actionable Insights: 68% of users preferred a tool that not only detects bias but also provides clear steps to mitigate it.
Trust in Ethical AI : 80% of respondents said they would trust AI more if companies actively used bias detection and mitigation strategies.
Need for Transparency : 84% of users stated that AI decision-making lacks transparency, making it difficult to identify and correct biases.
Demand for Bias Detection Tools :71% of participants believed that organizations should implement AI bias detection and mitigation tools to ensure fairness.
Preference for Actionable Insights: 68% of users preferred a tool that not only detects bias but also provides clear steps to mitigate it.
The Idea Behind
PerceptiveAI
The Idea Behind
PerceptiveAI
The Idea Behind
PerceptiveAI
The Idea Behind
PerceptiveAI
The Idea Behind
PerceptiveAI
AI bias is a critical issue that affects fairness, trust, and ethical decision-making. Many existing solutions either lack transparency or only highlight biases without offering clear mitigation strategies. My goal with PerceptiveAI is to go beyond detection by providing a comprehensive, actionable approach to bias reduction.
AI bias is a critical issue that affects fairness, trust, and ethical decision-making. Many existing solutions either lack transparency or only highlight biases without offering clear mitigation strategies. My goal with PerceptiveAI is to go beyond detection by providing a comprehensive, actionable approach to bias reduction.
AI bias is a critical issue that affects fairness, trust, and ethical decision-making. Many existing solutions either lack transparency or only highlight biases without offering clear mitigation strategies. My goal with PerceptiveAI is to go beyond detection by providing a comprehensive, actionable approach to bias reduction.
AI bias is a critical issue that affects fairness, trust, and ethical decision-making. Many existing solutions either lack transparency or only highlight biases without offering clear mitigation strategies. My goal with PerceptiveAI is to go beyond detection by providing a comprehensive, actionable approach to bias reduction.
AI bias is a critical issue that affects fairness, trust, and ethical decision-making. Many existing solutions either lack transparency or only highlight biases without offering clear mitigation strategies. My goal with PerceptiveAI is to go beyond detection by providing a comprehensive, actionable approach to bias reduction.
Typography & Colour
Typography & Colour
Typography & Colour
Typography & Colour
Typography & Colour
Style Guide
Aa
Aa
12px
14px
16px
20px
23px
28px
Inter
Inter
Inter light
Inter Medium
Inter Bold
ABCDEFGHIJKLMNOPQRSTUVWXYZ...123456....
Primary Colour
Primary Colour
Primary Colour
Primary Colour
Primary Colour
#010637
#A11C85
Secondary Colour
Secondary Colour
Secondary Colour
Secondary Colour
Secondary Colour
#1C6CF2
#FAF9FB
#7A7A7A
#ECECEC
I chose a minimalist style and color palette to achieve a cleaner design aesthetic.
I chose a minimalist style and color palette to achieve a cleaner design aesthetic.
I chose a minimalist style and color palette to achieve a cleaner design aesthetic.
I chose a minimalist style and color palette to achieve a cleaner design aesthetic.
I chose a minimalist style and color palette to achieve a cleaner design aesthetic.
Aa
12px
14px
16px
20px
23px
28px
Inter
Inter light
Inter Medium
Inter Bold
ABCDEFGHIJKLMNOPQRSTUVWXYZ...123456....
Let’s explore the functionality and features of this application, showcasing how it can empower users and enhance their well-being.
Let’s explore the functionality and features of this application, showcasing how it can empower users and enhance their well-being.
Let’s explore the functionality and features of this application, showcasing how it can empower users and enhance their well-being.
Let’s explore the functionality and features of this application, showcasing how it can empower users and enhance their well-being.
Let’s explore the functionality and features of this application, showcasing how it can empower users and enhance their well-being.
Home Screen
Design
The Home Page consists of a hero section that allows users to start their bias analysis instantly. Below this, a section showcases recent real-world bias cases, helping users understand the types of biases AI can produce. Further down, users can explore the impact of AI bias, featuring news highlights and case studies that reveal how biased AI systems have affected real-world decisions. This structured layout ensures users are informed, engaged, and ready to take action toward creating fairer AI models.
The Home Page consists of a hero section that allows users to start their bias analysis instantly. Below this, a section showcases recent real-world bias cases, helping users understand the types of biases AI can produce. Further down, users can explore the impact of AI bias, featuring news highlights and case studies that reveal how biased AI systems have affected real-world decisions. This structured layout ensures users are informed, engaged, and ready to take action toward creating fairer AI models.
The Home Page consists of a hero section that allows users to start their bias analysis instantly. Below this, a section showcases recent real-world bias cases, helping users understand the types of biases AI can produce. Further down, users can explore the impact of AI bias, featuring news highlights and case studies that reveal how biased AI systems have affected real-world decisions. This structured layout ensures users are informed, engaged, and ready to take action toward creating fairer AI models.
The Home Page consists of a hero section that allows users to start their bias analysis instantly. Below this, a section showcases recent real-world bias cases, helping users understand the types of biases AI can produce. Further down, users can explore the impact of AI bias, featuring news highlights and case studies that reveal how biased AI systems have affected real-world decisions. This structured layout ensures users are informed, engaged, and ready to take action toward creating fairer AI models.
File Uploade
File Uploade
File Uploade
File Uploade
Design
This screen allows users to upload data, articles, or manually input text for bias analysis and mitigation, ensuring fairness in AI-generated content.
This screen allows users to upload data, articles, or manually input text for bias analysis and mitigation, ensuring fairness in AI-generated content.
This screen allows users to upload data, articles, or manually input text for bias analysis and mitigation, ensuring fairness in AI-generated content.
This screen allows users to upload data, articles, or manually input text for bias analysis and mitigation, ensuring fairness in AI-generated content.
This screen allows users to upload data, articles, or manually input text for bias analysis and mitigation, ensuring fairness in AI-generated content.
Bias Mitigation & Result
Bias Mitigation & Result
Bias Mitigation & Result
Bias Mitigation & Result
Bias Mitigation & Result
Design
The Recent Bias Analysis
The Recent Bias Analysis
The Recent Bias Analysis
The Recent Bias Analysis
The Recent Bias Analysis
Once the user uploads an article, such as "The Benefits of Remote Work," and initiates analysis, they will be directed to the results page displaying detected biases.
Once the user uploads an article, such as "The Benefits of Remote Work," and initiates analysis, they will be directed to the results page displaying detected biases.
Once the user uploads an article, such as "The Benefits of Remote Work," and initiates analysis, they will be directed to the results page displaying detected biases.
Once the user uploads an article, such as "The Benefits of Remote Work," and initiates analysis, they will be directed to the results page displaying detected biases.
Success in Mitigation
Success in Mitigation
Success in Mitigation
Success in Mitigation
Success in Mitigation
When the user selects "Mitigate Biases," the system will generate a revised version of the article, ensuring it is free from biases while maintaining its original intent.
When the user selects "Mitigate Biases," the system will generate a revised version of the article, ensuring it is free from biases while maintaining its original intent.
When the user selects "Mitigate Biases," the system will generate a revised version of the article, ensuring it is free from biases while maintaining its original intent.
When the user selects "Mitigate Biases," the system will generate a revised version of the article, ensuring it is free from biases while maintaining its original intent.
Detail Analysis Report of Bias
Detail Analysis Report of Bias
Detail Analysis Report of Bias
Detail Analysis Report of Bias
Detail Analysis Report of Bias
Design
This page provides a detailed report of all detected biases in the article, highlighting their root causes, impact, and severity. It also offers actionable recommendations to help users mitigate biases effectively.
This page provides a detailed report of all detected biases in the article, highlighting their root causes, impact, and severity. It also offers actionable recommendations to help users mitigate biases effectively.
This page provides a detailed report of all detected biases in the article, highlighting their root causes, impact, and severity. It also offers actionable recommendations to help users mitigate biases effectively.
This page provides a detailed report of all detected biases in the article, highlighting their root causes, impact, and severity. It also offers actionable recommendations to help users mitigate biases effectively.
Learning Takeaway
Learning Takeaway
Learning Takeaway
Learning Takeaway
Learning Takeaway
Developing this concept for my Master’s Program in Data & Society has strengthened my skills in visual design, allowing me to create intuitive and user-friendly interfaces. I have learned how to effectively present complex data through clear visualizations, making AI bias analysis more accessible. This project has also deepened my understanding of ethical AI considerations, reinforcing the importance of designing tools that promote fairness and transparency. Overall, this experience has equipped me with the ability to develop impactful, socially responsible technology solutions that drive positive change in AI ethics.
Developing this concept for my Master’s Program in Data & Society has strengthened my skills in visual design, allowing me to create intuitive and user-friendly interfaces. I have learned how to effectively present complex data through clear visualizations, making AI bias analysis more accessible. This project has also deepened my understanding of ethical AI considerations, reinforcing the importance of designing tools that promote fairness and transparency. Overall, this experience has equipped me with the ability to develop impactful, socially responsible technology solutions that drive positive change in AI ethics.
Developing this concept for my Master’s Program in Data & Society has strengthened my skills in visual design, allowing me to create intuitive and user-friendly interfaces. I have learned how to effectively present complex data through clear visualizations, making AI bias analysis more accessible. This project has also deepened my understanding of ethical AI considerations, reinforcing the importance of designing tools that promote fairness and transparency. Overall, this experience has equipped me with the ability to develop impactful, socially responsible technology solutions that drive positive change in AI ethics.
Developing this concept for my Master’s Program in Data & Society has strengthened my skills in visual design, allowing me to create intuitive and user-friendly interfaces. I have learned how to effectively present complex data through clear visualizations, making AI bias analysis more accessible. This project has also deepened my understanding of ethical AI considerations, reinforcing the importance of designing tools that promote fairness and transparency. Overall, this experience has equipped me with the ability to develop impactful, socially responsible technology solutions that drive positive change in AI ethics.
Developing this concept for my Master’s Program in Data & Society has strengthened my skills in visual design, allowing me to create intuitive and user-friendly interfaces. I have learned how to effectively present complex data through clear visualizations, making AI bias analysis more accessible. This project has also deepened my understanding of ethical AI considerations, reinforcing the importance of designing tools that promote fairness and transparency. Overall, this experience has equipped me with the ability to develop impactful, socially responsible technology solutions that drive positive change in AI ethics.
Other Projects
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Gym Buddy
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Start your workout in your city with a new workout buddy, to support you and guide you through the process.
Start your workout in your city with a new workout buddy, to support you and guide you through the process.
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Projectarbeit (MA)
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MellowSphere
MellowSphere
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MellowSphere
MellowSphere
Mellow Sphere designed to help individuals deal with stress, anxiety, or simply those moments when life feels overwhelming.
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Mellow Sphere designed to help individuals deal with stress, anxiety, or simply those moments when life feels overwhelming.
Mellow Sphere designed to help individuals deal with stress, anxiety, or simply those moments when life feels overwhelming.