How is our personal data used to train AI models? What safeguards exist to ensure this data isn’t misused? The balance between innovation and ethical responsibility is more critical than ever in the AI landscape.

In this episode, we dive into the essentials of AI, data ethics, and privacy. We examine how bias in data impacts AI models and discuss real-world examples, such as Tesla’s autonomous vehicles and their issues with biased training data. We also talk about the growing need for transparency in data collection practices and what companies must do to safeguard customer information while leveraging AI for business solutions. With increasing regulations around data privacy, this episode highlights what businesses need to know to stay compliant and ethical.

Listen to this episode to understand the relationship between AI, data, and privacy. Don’t forget to subscribe to Beyond the Byte to not miss an episode.

▶️ AI, Data, and Privacy: What You Need to Know

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Mo Hafez is the Chief Executive Officer of ByteWise and a leading advocate for ethical AI in the business world. With over 15 years of experience in IT, Mo specializes in driving digital transformation and guiding organizations through seamless cloud and SaaS migrations. His work harnesses the latest technologies—including AI, ML, VR, and AR—to help businesses automate processes and fuel growth. Known for his ability to deliver secure, scalable solutions, Mo also mentors high-performing teams, shaping the next generation of tech innovators. In a rapidly changing landscape, he champions the ethical use of technology to future-proof organizations and empower tomorrow’s workforce.

Website: http://bytewise-llc.com/

LinkedIn: https://www.linkedin.com/in/hafezm/

https://www.linkedin.com/company/bytewise-ai/