As ESG ambitions grow for organizations, AI-driven ESG capabilities can help enterprises accelerate their sustainability journeys and meet stakeholder expectations

Deceptive AI presents several risks, but there are solutions to counter this growing threat

In this Q&A, Ashish K. Gupta, Chief Growth Officer, Europe and Africa at HCLTech, speaks about the guardrails needed to ensure responsible use of AI

Generative artifical intelligence presents several short- and long-term challenges that organizations must address with regulations, trusted data and new policies

AI and GenAI are transforming industries but pose regulatory and risk management challenges. This article explores AI governance to ensure ethical use of AI technologies.

Incorporating AI into core business processes promises to increase employee productivity, improve revenues and turn every customer into a happy customer.

The blog explores the critical importance of embedding ethical considerations into AI, calling for transparent governance models and proactive human assessment to empower user privacy.

In this podcast, host Nick Ismail is joined by Kristen Laird, Senior Responsible AI Program Manager for Cognitive Services at Microsoft and Andy Packham, Chief Architect and Senior Vice President

As generative AI drives technology into the organizational driver’s seat, how can enterprises practically manage secure implementation while grappling with the big ethical questions?

Read the blog to learn what chatGPT is and its use in the cross-border e-commerce industry in an ethical way. Click here!

Explore the rise of GenAI, its ethical dilemmas, and why enterprises are adopting private AI for better data security, control and compliance in hybrid cloud environments.

GenAI is revolutionizing healthcare by enhancing patient outcomes and streamlining operations, but organizations must address ethical, legal and regulatory challenges for successful implementation.