Infosys (credit image/Pixabay/Alexandra_Koch)Infosys has launched its Responsible AI Suite, a part of Infosys Topaz, an AI-first set of services, solutions, and platforms using generative AI.

The rise of powerful generative AI systems in the past year has raised concerns about the ethical dimensions of AI. According to the Infosys Generative AI Radar, by Infosys Knowledge Institute, organisations identify a range of challenges to embracing AI. These include data privacy, security, ethics, and bias as the primary challenges in their pursuit of innovation with AI. The Responsible AI Suite is designed to help enterprises balance innovation with ethical considerations. Ethical considerations such as bias and privacy prevention, and maximise their return on investments.

Infosys Topaz Responsible AI Suite

The AI Suite is a set of offerings built around the Scan, Shield, and Steer framework. The framework aims to monitor and protect AI models and systems from risks and threats, while enabling businesses to apply AI responsibly. The offerings, across the framework, include a combination of accelerators and solutions designed to drive responsible AI adoption across enterprises.

  • Scan: Includes solutions to help identify the overall AI risk posture, legal obligations, and vulnerabilities. The solution generates a single source of truth for the compliance status of all AI projects. For example, the Infosys Topaz RAI Watchtower is used to monitor upcoming threats, vulnerabilities, and legal obligations.
  • Shield: These solutions focus on building technical guardrails, checks, and accelerators that are responsible-by-design across the AI lifecycle. It also consists of specialised solutions for AI security. For example, the Infosys Topaz Gen AI Guardrails help enforce the safe use of Gen AI. This is managed by moderating input prompts and output for multiple risks.
  • Steer: These advisory and consulting services support strong and efficient AI governance for innovation. Offerings include AI strategy formulation, legal consultation, and contract reviews.

Infosys Topaz Responsible AI Suite will be amplified by an ecosystem of technology partners and think tanks via the Responsible AI Coalition. The Responsible AI Coalition will bring together startups, cloud service providers, and technology partners to advance responsible AI. It will also lead a special working group of noted academicians, influencers, policymakers, and industry leaders. The working group aims to shape solutions that set new industry standards in the responsible AI space.

Helping enterprise accelerate AI initiatives

Phil Fersht, CEO and Chief Analyst, HFS Research, said, “With the challenges of Responsible AI currently forcing many enterprises to slow their progress towards achieving scaled value with AI. Smart offerings such as Infosys Topaz’s Responsible AI suite can clear the path to help them accelerate critical AI initiatives.”

The suite of offerings is complemented by Infosys Topaz RAI office. This ensures the offerings deliver solutions that navigate the shifting landscape of complex technical, policy, and governance challenges related to adopting AI responsibly across business functions. The office of RAI is also responsible for looking into different facets of ethical aspects of AI. This includes transparency, fairness, privacy, security and compliance. The Office constitutes a centralised body for streamlining AI governance, formulating AI risk strategy, and maintaining standards, policies, and guidelines. It will ensure adherence to responsible-by-design principles and standards throughout the AI development lifecycle. The office is also expected to facilitate the safe use of AI across organisations.

(Image credit/LinkedIn/Balakrishna D. R. (Bali))
Balakrishna D.R. (Bali), Executive VP, Global Services Head, AI and Industry Verticals, Infosys

Balakrishna D.R. (Bali), Executive VP, Global Services Head, AI and Industry Verticals, Infosys, said, “Responsible and ethical AI deployment is a business imperative as technology evolves. At Infosys, we recognise the critical need for fostering responsible AI and not merely as a set of principles. But as actionable steps. Infosys Topaz Responsible AI Suite is a significant stride in helping our clients better manage their AI-first journey. Together with the Infosys RAI office, we affirm our commitment to advancing the ethos of responsible AI. We are providing enterprises with the necessary tools and expertise for ethical AI implementation.”

Enterprise Times: What this means for businesses

Businesses, governments and society cannot afford to ignore some of the chilling things coming out of artificial intelligence (AI). There are deepfakes, image and voice cloning, copyright transgressions, AI-assisted plagiarism, bot infestation of social media to name a few. All of these developments challenge the security and data protection integrity of content for enterprises, individuals and governments.

Like King Canute, enterprises cannot ignore the new technological wave of AI. However, the multinational technology organisations have a responsibility to establish the best practices and guidelines for ethical AI. Over the last year, virtually all technology organisations have loudly proclaimed their new AI-enabled solutions. These tools have been developed to support worthy business, creative or operational ambitions in today’s enterprise. However, few organisations have made follow-up announcements about the guardrails, ethics or process developed to protect consumers and society.

So Infosys new Topaz’s Responsible AI Suite of Offerings is deliberately designed to help enterprises navigate the regulatory and ethical complexities of AI-powered transformation. The Responsible AI (RAI) Office is expected to serve as the custodian of ethical use of AI. The office aims to ensure solutions align with emerging guardrails for AI across geographies. This is definitely a step in the right direction from Infosys. Looking forward, other large global technology companies should join the bandwagon and establish similar office within their ecosystems. Furthermore, collaborating with other similar-minded global organisations to meet some of the negative challenges of AI.


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