Facia is committed to revolutionizing facial recognition technology while adhering to principles of environmental care and ethical development. Our mission is to provide secure, dependable, and sustainable digital identity solutions that prioritize privacy, reduce environmental impact, and foster inclusivity.
Our Approach to Corporate Responsibility
At Facia, we strive for sustainability and responsible technology use, prioritizing four key areas:
- Social Responsibility
- Environmental Initiatives
- Sustainable development
- Humanitarian Efforts
We're dedicated to making a positive impact in the digital world, emphasizing environment friendly and inclusive practices. We enable all stakeholders to address global challenges, and champion integrity and innovation.
Facia has also aligned with the United Nations Global Compact, supporting its principles and Sustainable Development Goals (SDGs).
We focus on:
SDG 3: Good Health and Well-being
Using technology to improve access to healthcare services.
SDG 4: Quality Education
Facia aims to train and uplift the youth by providing hands on experience with the technology of the future.
SDG 5: Gender Equality
Promoting diversity in tech
SDG 9: Innovation & Infrastructure
Leading innovation in sustainable digital identity.
SDG 11: Sustainable Communities
Creating safe, inclusive digital spaces.
SDG 12: Responsible Utilisation
Energy efficiency, & minimising the environmental impact.
SDG 13: Climate Action
Aiming for carbon neutrality in our operations.
SDG 17: Partnerships for the Goals:
Government collaboration & NGOs for responsible AI.
Mitigating Bias in Facial Recognition: Our Approach to Ethical AI
Our Approach to Diversity, Equity and Inclusion
At Facia, we’re on a mission to build AI solutions that empower everyone, and we firmly believe that this can only be achieved through fostering a diverse and inclusive work environment.
We embrace diversity, equity, inclusion, and belonging (DEIB) as a core value, recognizing that a multitude of perspectives, experiences, and backgrounds are essential for innovation and success in the dynamic field of AI.
Foundational Dataset Bias Mitigation
We address potential biases at their source. Our in-house curated datasets encompass a wide range of demographics, including age, gender, ethnicity, skin tones, and eyewear variations. This ensures that our facial recognition models perform equally across all user groups.
For example, our datasets extend beyond the Fitzpatrick Skin Type scale, incorporating a broader range of skin tones to ensure generalisability.
Algorithmic Bias Mitigation
De-biasing Techniques
We leverage pre-processing methods like data augmentation and normalisation, alongside adversarial training, to reduce dataset bias and improve model fairness and efficiency.
Counterfactual Analysis
This technique enables us to investigate how the AI's decisions would differ for individuals with different qualities (like ethnicity).It helps us find potential biases and take steps to ensure fairness.
Bias Awareness Training
Our development and testing teams undergo mandatory training on algorithmic bias and fairness principles.This training stays current, helping us build and maintain unbiased AI systems.
Transparency & Accountability
We believe users have the right to understand how AI systems make decisions. We use the latest techniques to enhance the efficiency and fairness of our AI's decisions, fostering trust and confidence in our technology. Additionally, we conduct regular independent third-party audits to evaluate potential biases in our systems. These audits are carried out by reputable organizations specializing in fairness assessments of AI algorithms. Our goal is to achieve a significant improvement in transparency over the next year, further enhancing user understanding and trust.
Sustainable Development
Facia is dedicated to long-term sustainability, and eco-friendly practices in all aspects of our operations and within the wider market. In our pursuit of excellence, we are diligently refining our algorithms to reduce energy consumption, targeting a 30% reduction over the next 5 years, whilst transitioning towards solar energy solutions.
Our governance structure ensures these principles are deeply embedded in our culture. We're driven to build a future where technology not only secures identities but also actively supports a sustainable and inclusive world. We welcome inquiries from organizations that align with our values. Let’s shape the future of responsible AI.
Environmental Responsibility
At Facia, we believe tech companies have a responsibility to protect our planet. Our commitment to sustainability guides our operations, partnerships, and the development of AI solutions.
In partnership with reforestation organisations, we've pledged to scale our tree plantation drives by 2030. This aligns with the UN's Climate Goals and actively contributes to combating climate change.
Our team is also passionate about our sustainability commitments. In FY23, our workforce dedicated 500 hours (combined) of volunteer time to environmental and social responsibility projects.
“Creating a strong business and building a better world are not conflicting goals - they are both essential ingredients for long-term success”
Other Initiatives:- We leverage cloud technologies, work with energy-conscious partners, and optimize our infrastructure to reduce our carbon impact.
- Our AI models are designed with energy efficiency in mind. Our goal is to reduce computational waste by approximately 30%.
- We incentivize eco-friendly transportation and favour video conferencing to reduce travel-related emissions by 20%.
- We choose eco-friendly products and strive for a paperless workspace to minimize our environmental impact.
Beyond the Technology
Building a Better Future