Radical Transparency in Product Development

Radical Therapy for Product Development is a philosophy that embraces openness, collaboration, and constant improvement. It challenges the traditional silos and hierarchical structures often found in software development as well as product and business management and replaces them with a culture of transparency and accountability.

Through the use of effective communication channels, such as collaborative writing of user stories, technical translation, and regular check-ins, software teams can achieve a deeper understanding of business requirements and technical implementation. By breaking down barriers between stakeholders and developers, teams can work together seamlessly to deliver high-quality products.

Radical Transparency for Software Teams

Redefine team communication with radical transparency. Fostering a culture of openness, honesty, and positivity in your team, can create a work environment where everyone feels empowered to do their best work and grow both personally and professionally. This talk will give an overview to bringing radical transparency into your DevOps, software and product development processes.

Ethical AI for Software Teams

As AI technology continues to advance, ensuring ethical development and testing is more critical than ever. The presentation explores why human oversight is vital both before and after AI system launches. We delve into the importance of pre-launch testing, where human testers help identify biases, evaluate cultural sensitivity, and fine-tune responses to align with ethical standards.

Our Ethical AI Framework is at the forefront of responsible technology development. In an era where AI's impact on society is profound, our commitment to fairness, transparency, and accountability is unwavering. This presentation delves into the core principles of our framework, which encompasses pre-launch testing, post-launch monitoring, and active user contributions.

We recognize that ethical AI development is an ongoing journey. Pre-launch testing is instrumental in identifying biases, cultural sensitivities, and fine-tuning responses to align with ethical standards. Post-launch monitoring ensures that our AI systems evolve responsibly, and user contributions play a pivotal role in reporting and rectifying issues.

Furthermore, we're excited to share our open-source Ethical AI Testing Framework, accessible on GitHub. This framework provides a structured and collaborative platform for testing AI systems for various biases, ensuring that AI respects diverse perspectives. Join us in shaping the future of AI ethics, where technology and humanity coexist harmoniously. Because of that access to GitHub and our repositories as well as understanding of testing frameworks for python and AI are required.