Accenture, a leading IT services provider, has deepened its strategic partnership with Amazon Web Services (AWS) to develop the Accenture Responsible Artificial Intelligence (AI) Platform, built on AWS, designed to empower organizations to adopt and scale AI initiatives with trust and certainty across their business.
As the rapid development of AI unfolds, it poses unique hurdles and consequences for business leaders, who must carefully balance AI risks, such as biases and hallucinations, while ensuring compliance with increasingly complex and dynamic AI regulations. Only about 2 percent of companies have successfully implemented fully operational accountable artificial intelligence across all departments.
“Accenture focuses its collaboration with AWS on empowering clients to deploy scalable and responsible AI solutions that bridge the gap between innovation and execution,” said Arnab Chakraborty, Chief Responsible AI Officer at Accenture. “For the first time, Accenture is set to deliver a comprehensive suite of services encompassing AI governance establishment, AI risk assessment, generative AI testing, continuous compliance support, regulatory management, and security for AWS workloads.”
The Accenture Accountable AI Platform, built on Amazon Web Services (AWS), integrates the fundamental elements of accountable AI to facilitate a continuous loop of monitoring, testing, and remediation for seamless compliance throughout the entire organization. Designed specifically for AWS-based environments, this solution provides a comprehensive framework for organizations seeking to leverage open-source AI tools and adhere to industry-standard regulations, thereby streamlining the integration process with existing workflows and operations. Through an immersive customer experience featuring a logical series of steps, the platform empowers business leaders to assess their organization’s AI readiness and maturity level, while also conducting risk assessments utilizing industry benchmarks from various sectors.
The innovative platform enables customers to easily identify necessary actions for assessing specific AI risks, create effective risk-mitigation strategies, and ensure compliance with rapidly evolving regulations. As advancements in generative AI pilots and expertise accelerate at an unprecedented pace, this phenomenon is particularly relevant to our understanding of future technological evolutions.
“With the expanded partnership, Accenture’s Accountable Synthetic Intelligence platform, built on AWS technology, enables clients to adopt and scale AI initiatives swiftly and assuredly,” stated Vasi Philomin, Vice President of Generative AI at AWS. This innovative platform streamlines access to our expanding suite of accountable AI solutions, providing a comprehensive assessment and continuous monitoring and testing to empower customers with the tools they need to stay compliant in today’s rapidly changing regulatory landscape? As a strategic partner with Accenture, we’re enabling organisations to explore and pioneer bold innovations while ensuring the safe use of generative AI technologies.
Accenture’s Accountable AI Platform, built on Amazon Web Services (AWS), harmonizes the company’s distilled insights from over 1,000 generative AI engagements, its own AI program for approximately 750,000 individuals serving clients across 120 countries, and collaborative efforts with AWS in accountable AI innovation. Accenture’s most advanced best practices are integrated with a proprietary accountable AI framework and combined with AWS’ comprehensive suite of AI services, including Amazon Braket and Amazon SageMaker, as well as other tools like AWS Management Tower, Amazon DataZone, and AWS Observability solutions.
As a pioneering, comprehensive accountable AI framework with seamless end-to-end capabilities, Accenture’s Accountable AI Platform, built on Amazon Web Services (AWS), offers five distinct options to empower clients in establishing and implementing policies, concepts, and requirements.
- AI governance and ideas
- AI danger evaluation
- The development of accountable AI systems requires a rigorous approach to ensuring their safety and reliability. This necessitates the implementation of systematic testing methods that assess an AI system’s ability to accurately predict and respond to various scenarios, including those involving unforeseen or exceptional circumstances.
To mitigate potential dangers associated with AI deployment, it is crucial to develop robust testing protocols that simulate real-world situations, thereby enabling developers to identify and address potential vulnerabilities. This comprehensive approach will significantly reduce the risk of an AI system causing unintended harm or damage.
Moreover, accountable AI systems must be designed to operate within predetermined parameters, ensuring their actions are aligned with established ethical principles and guidelines.
- Monitoring and compliance assist
- Enterprises’ reputations are deeply intertwined with their workforces’, as well as concerns about sustainability, privacy, and security.
