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Alexandra Ebert is an ethical AI, synthetic data & privacy expert and serves as Chief Trust Officer at MOSTLY AI. She regularly speaks at international conferences on AI, privacy, and digital banking and hosts The Data Democratization Podcast. As a member of the company’s senior leadership team, she is engaged in public policy issues in the emerging field of synthetic data and ethical AI and responsible for engaging with the privacy community, with regulators, the media, and with customers. Besides being an advocate for privacy protection, Alexandra is deeply passionate about ethical AI and ensuring the fair and responsible use of machine learning algorithms. She is the co-author of an ICLR paper and a popular blog series on fairness in AI and fair synthetic data, which was featured in Forbes and IEEE Spectrum.
Apart from her work at MOSTLY AI, she serves as the chair of the IEEE Synthetic Data IC expert group and was pleased to be invited to join the group of AI experts for the #humanAIze initiative, which aims to make AI more inclusive and accessible to everyone.