Industry leaders recently convened to discuss the growing necessity of AI explainability in retail.
A panel of experts from academia, industry, and regulatory backgrounds joined forces to explore the legal and commercial implications of AI transparency. Hosted by Professor Shlomit Yaniski Ravid from Yale Law and Fordham Law, the discussion emphasized the crucial need for ethical AI practices and the importance of demystifying AI decision-making in retail.
Regulatory Hurdles and ISO 42001: The New Standard
Tony Porter, former Surveillance Camera Commissioner for the UK Home Office, shed light on the regulatory complexities surrounding AI transparency. He highlighted the relevance of ISO 42001, an international framework for AI governance that helps businesses balance innovation with accountability. “As regulations evolve, ISO 42001 offers a structured approach to responsible AI implementation,” Porter explained.
Chamelio: AI-Powered Legal Intelligence
Alex Zilberman of Chamelio, a legal intelligence platform, showcased how AI is transforming corporate legal operations. The platform employs AI agents to analyze legal documents, extract critical obligations, and streamline compliance processes. “Transparency is key to trust,” Zilberman stated. “Our system ensures every recommendation can be verified and traced, preventing the ‘black box’ problem in AI.”
Buffers.ai: Revolutionizing Retail Inventory with AI
Pini Usha from Buffers.ai highlighted how AI-driven inventory optimization is changing the retail landscape. Serving major brands like H&M and P&G, Buffers.ai assists retailers in demand forecasting and stock management. The system integrates with platforms like SAP, providing real-time insights to minimize stockouts and overstock situations. “Businesses need to understand AI-driven predictions to trust them,” Usha noted.
Corsight AI: Ethical Facial Recognition in Retail
Matan Noga from Corsight AI discussed the significance of explainability in facial recognition technology. Used in security and customer experience enhancement, Corsight AI ensures ethical AI deployment by complying with privacy laws and promoting responsible use. Their technology aids law enforcement and retailers in security-related applications, ensuring that AI-driven decisions remain transparent and accountable.
ImiSight: AI for Image Intelligence
Daphne Tapia from ImiSight emphasized the role of AI-powered image intelligence in sectors like border security and environmental monitoring. By integrating multi-sensor analysis, ImiSight detects anomalies and provides traceable insights. “AI explainability means users must trust the system’s outputs,” Tapia remarked.
The panel concluded that AI explainability is a cornerstone of ethical AI adoption. By prioritizing transparency and human oversight, businesses can ensure their AI systems align with regulatory standards and public expectations.
For further advancements in AI governance and ethical deployment, check out how the CERTAIN Initiative is shaping the future of AI governance in Europe.
