Aisha Yasir
Aisha Yasir is a recent graduate with a Bachelor's degree in Computer Science from Imam AbdulRahman Bin Faisal University, where she graduated with honors and secured first position in her batch. With a passion for blending AI innovation with ethical practices, she is committed to advancing AI technology that aligns with ethical principles and fosters trust among users.
During her time at Omdena, she worked with a global team to develop machine learning algorithms with a focus on real-world impact, showcasing her ability to drive meaningful change through technology.
At PyLadies Con, she will share her insights on "Preserving Privacy in AI: Techniques and Tools for Secure Machine Learning," bringing her expertise and passion for ethical AI to the forefront of the conversation.
Session
With the rapid advancement of AI and machine learning, how can we protect individual privacy while harnessing the power of data? In a world where data breaches are common and regulations like GDPR impose strict privacy standards, developers and data scientists must rise to the challenge of building AI systems that respect privacy.
This talk explores cutting-edge privacy-preserving techniques such as Federated Learning, Differential Privacy, and Homomorphic Encryption. The talk will also look into the available open-source Python libraries that bring these techniques to life. These tools empower developers to train AI models in a decentralized or encrypted manner, enabling organizations to innovate without compromising user privacy. Whether you're building healthcare models, working on financial predictions, or developing AI products for consumers, these techniques will help you ensure that privacy is at the forefront of your design.
Join me as we navigate the intersection of AI, privacy, and ethics and get actionable insights to create AI systems that not only meet regulatory standards but also foster trust and transparency.