Noa Srebrnik, CEO and co-founder of Citrusˣ, was recently interviewed on the Inside Israeli Innovation podcast by host Maayan Hoffman. The two sat down to discuss the challenges of AI adoption, AI regulations, and Noa’s journey as a female entrepreneur.
Here are some highlights from the episode:
On the Challenges of AI Adoption
One of the biggest hurdles in AI adoption is the lack of transparency. Complex models often function as "black boxes," making it difficult for non-technical users to understand their decision-making processes. This lack of visibility hinders trust and raises concerns about bias and fairness.
On top of the lack of transparency and trust, there is a challenge to ensure the model complies with regulations such as the EU AI Act. The model has to go through compliance and accuracy testing to prevent potential problems like cyber risks, and organizations need to have the right tools to do that.
On the Role of Citrusˣ in Dealing With These Problems
Citrusˣ cuts through the complexity of AI with a user-friendly platform that empowers non-technical decision-makers. Business owners and risk managers can understand how their AI models work, identify potential risks, and ensure compliance with regulations like the EU AI Act. The Citrusˣ platform provides clear interfaces, insightful reports, and comprehensive documentation, making AI adoption seamless and secure for everyone in your organization.
On How Citrusˣ Compares to Existing Solutions
Many organizations currently rely on manual processes to identify bias and fairness issues in AI models. Citrusˣ goes beyond this by analyzing feature correlations to uncover hidden biases, even when sensitive data like race or gender is not explicitly included in the model.
On the Impact of Citrusˣ
By fostering trust and mitigating risks, Citrusˣ allows companies to adopt AI with greater confidence. This translates into faster development cycles and quicker time-to-market for innovative products and services.
On Being a Female Entrepreneur
The interview also delves into Noa's experience as a woman in the tech industry. She emphasizes the importance of creating an inclusive environment where women feel empowered to pursue careers in AI and entrepreneurship.
On Being Cautious About Using LLMs
The podcast concludes with a cautionary note about using LLM models like ChatGPT. Responsible use is key to harnessing the benefits of AI without creating unforeseen problems. It's crucial to understand the limitations of these models and the data they're trained on. If the model was trained on data until 2021 or 2022, you can’t ask it questions that require up-to-date information.
Listen to the full episode here, on Apple, Spotify, Google Podcasts, or wherever you get your podcasts.
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