Responsible AI: Innovation and Governance Together to Drive Success

We are standing at a pivotal point in the technological revolution. From where we are today, AI usage will only continue to grow, permeating every industry. It’s an immense opportunity—AI and AI-powered automation can improve human productivity, efficiency, and revenue generation—but it also comes with great need for security and governance.

Balancing innovation and responsible practices

How can organizations investing in AI find a balance between innovation and responsible practices? It’s essential to develop frameworks as early as possible. While the technological innovation process has historically been to launch, then think about governance and guidelines, this needs to change. As we build the new technology of today, we must build frameworks at the same time.

Consider Automation Anywhere’s AI Agents, announced at Imagine 2024. AI Agents learn from enterprise data in order to make appropriate decisions and take action across an enterprise system. Tools like this are unprecedented, but built from the get-go with guardrails and a governance-conscious AI mindset. In fact, these AI Agents are poised to be effective because they are built within a robust AI governance framework of responsibility, including attention to security, reliability, and accountability, among other features.

Industry frameworks for safe AI deployment

As this industry takes shape, frameworks such as the National Institute of Standards and Technology (NIST)’s AI Risk Management Framework are helping ensure safe, ethical, and effective deployment of AI. The EU Artificial Intelligence Act also provides a comprehensive risk-based regulatory framework to address the safety challenges posed by AI.

Overall, our approach to responsible AI across Automation Anywhere—with AI Agents and beyond—is grounded in these seven principles that make up our responsible AI framework:

Ethics: We believe AI should prevent harm and advance human dignity, rights, and freedom.

Security: We prioritize built-in security and safeguard against a multitude of threats.

Privacy: Our stakeholders have clarity, control, and oversight over their data storage, access, and usage.

Reliability: We’re committed to consistency, accuracy, discipline, and AI model robustness.

Accessibility: We believe AI should be inclusive and accessible to all.

Transparency: We will always be open and honest about our products, business models, and policies.

Accountability: We believe human oversight is essential in the entire AI development lifecycle.

Adapting to the future of AI

Automation Anywhere is deeply committed to these principles, but we also recognize that AI evolves rapidly. Our AI governance framework will continue to adapt to inevitable changes in the technology, market, and applicable regulations.

Building a responsible AI governance framework is crucial, but equally important is adapting it to stay ahead of our responsibilities as technologists—and as humans—throughout this revolution.

Learn more about Responsible AI

Watch our deep-dive on Responsible AI during Imagine 2024 with Kay Firth-Butterfield, former head of AI at the World Economic Forum.