Trilateral Research claims Investment in Responsible AI is critical for building consumer trust

LONDON, UK. January 15th, 2025 – The rapid integration of artificial intelligence across industries has transformed responsible AI from a compliance checkbox into an essential business imperative, according to ethical AI solutions provider Trilateral Research.

Recent research from MIT Sloan Management Review reveals both the challenge and opportunity: while 85% of respondents indicate insufficient investment in responsible AI methods, 70% of organisations using mature, responsibly developed AI systems report improved outcomes and increased efficiencies. 

 

"Investment in responsible AI practices is not just about risk mitigation—it's a fundamental driver of brand reputation and public trust," explains Kush Wadhwa, CEO of Trilateral Research, in a recent interview with global communications consultancy Hotwire. 

 

 

While frameworks from bodies like the EU and OECD provide high-level guidance, organisations struggle with practical implementation. "We believe the solution is to use a multidisciplinary team," Wadhwa notes, emphasising the importance of bringing together legal experts, domain experts, ethicists, and technical teams. This collaborative approach helps address key challenges, including data bias and system fairness. 

 

"To address these biases, we need adequate transparency, explainability and literacy built in at the front end," Wadhwa explains. "Then, everyone utilising the outputs must have a clear understanding of how to apply the data." This comprehensive approach extends to security. Instead of treating cybersecurity and responsible AI as separate concerns, companies are beginning to recognise that robust security measures are the foundation of responsible AI implementation. "Put simply, ethical AI is about doing the right things with AI, and cybersecurity ensures those systems are secure enough to uphold those principles." 

 

Successfully implementing responsible AI requires a clear roadmap, according to Wadhwa. Beginning with training is essential: "There's a huge lack of understanding about what AI can do, so you need to demystify AI across your organisation," he explains. This foundation of understanding enables organisations to take the next important step, conducting thorough risk and impact assessments for each AI tool. The final element is ongoing attentiveness. "To get the best ROI from your AI investments and protect your reputation," Wadhwa advises, "you need continuous monitoring and risk management." By following this structured approach, organisations can build a robust framework for responsible AI deployment. 

 

 

As we move deeper into the AI age, responsible AI becomes a cornerstone of business success. For organisations worldwide, the focus has shifted from whether to implement AI to how to implement it responsibly. Those that embrace transparency in their responsible AI initiatives will set new standards and earn lasting credibility in the market. 

 

The full interview with Kush Wadhwa is available on Hotwire’s website. To learn more about innovating with responsible AI, and how Trilateral Research can help your organisation embed responsible AI into its digital transformation strategy, get in touch with the team at Trilateral today. 

ENDS