Ethics
Designers are ethicists. As we enter the age AI, this is more true than ever. We are not just responsible for evaluating the output of our own work anymore.
Design sits between the business, technology and the user. Each with their own bias, it’s designs’ job to be aware of those biases and create products that are ethical and fair for everyone.
These are the core values that guide my team's work. These values reflect our commitment to users, our team, and the community. They serve as our guiding principles, shaping our decisions and design processes.
Positive Culture
Cultural Sensitivity: We commit to respecting cultural differences and diverse needs in our design, understanding that our products often bring together diverse groups of people.
Sustainability & Well-being: We strive for environmentally friendly designs and products that enhance users' well-being. This includes emotional considerations like reducing user anxiety, respecting negative emotions, and promoting safe practices.
Respect: We cultivate a respectful, positive work environment promoting open communication, collaboration, mutual respect, and a healthy work-life balance. We celebrate achievements, encourage feedback, and value diverse skills and perspectives.
Ethical Leadership & Emotional Intelligence: We lead by example, demonstrating ethical behavior, transparency, and fairness. We understand and manage our emotions, creating a harmonious, productive work environment.
User First
Transparency: We commit to transparent, honest, and fair design decisions, clear communication, and avoid misleading interfaces or biases. This includes fully informing users about product functions, benefits, potential risks, terms, and conditions.
Privacy & Anti-Fraud: We uphold the privacy and data security of our users, using secure technologies and practices to protect their information. We also design features to prevent and identify fraudulent activities, enhancing the integrity and trustworthiness of our platform.
Responsibility & Responsiveness: We hold ourselves accountable for our designs, learning from and improving our products based on user feedback and societal needs. We actively listen and respond to user feedback in a timely manner.
Digital Equity: We pledge to design a product that is accessible and usable across a range of devices and internet speeds, ensuring that users in areas with less technological infrastructure are not disadvantaged.
Inclusivity: We prioritize understanding, empathizing, and designing for the needs and experiences of diverse users, ensuring our designs are accessible, inclusive, and beneficial to all.
Continuous Improvement
Adaptability: We balance innovative pursuits with careful consideration of their impacts. Our designs and systems are adaptable, scalable, and reliable.
Learning: We create a culture of continuous learning, testing, improvement, and 'failing forward'. We utilize rapid prototyping to test, learn, and iterate faster, encouraging the freedom to explore various ideas.
Ideation: We stimulate innovative thinking by encouraging the fusion of diverse ideas, drawing inspiration from various disciplines, and fostering collaborative creativity.
AI Responsibility
Transparency: We commit to documenting our processes and learnings comprehensively from inception through completion, ensuring transparency in our AI-assisted workflows. We actively share our discoveries and methodologies with others, creating a foundation of collective knowledge that elevates the entire community and gives others a strategic advantage.
Bias Mitigation: We actively guard against both human and AI biases in our decision-making processes. We are aware of AI sycophants by deliberately prompting for disagreement and alternative perspectives. We avoid the sunk cost fallacy by being willing to start over when necessary, and we prevent framing effects by crafting neutral prompts that don't suggest predetermined answers. For AI bias mitigation, we seek second opinions from multiple models, remain vigilant about context drift by clearing memory when appropriate, and encourage AI systems to ask clarifying questions before drawing conclusions.
Ideation: We strategically separate ideation from execution, using AI to enhance our thinking capacity rather than replace human judgment. We transform concepts into testable experiments and leverage artificial intelligence to free up mental bandwidth for higher-order thinking, creativity, and strategic decision-making.
Responsible Use: We maintain ethical standards in all our AI interactions, ensuring our prompts and instructions uphold our core values and respect human dignity. We take personal responsibility for understanding and adhering to AI usage policies, recognizing that it is our duty to read, comprehend, and follow these guidelines rather than relying on others to interpret them for us.
