AI Governance

Fostering AI Governance to generate Continuous Business Value

In recent years, the adoption of Artificial Intelligence has accelerated at a speed never seen before. Market disruptors and tech giants, with a data-driven DNA, have shown the market how to leverage Artificial Intelligence to build outstanding business models, persona-centric experiences and operational competitiveness. The launch of brand-new AI-driven start-ups that hit the market with innovative products and services completes a new context where organisations need to leverage AI not just for differentiation, but for market survival.

Not that long ago, the key challenge for organisations was to design a data strategy, define a data governance framework, and integrate Big Data capabilities across the organisation. However, the time to talk about AI governance has come, since squeezing the data to generate Business value now demands a sound orchestration across a variety of expertise and domains.

There are some key aspects to consider when developing a solid AI Governance:

1. AI Strategy: every organisation aiming to lead the competitive race should design and rely on a sound business and technology strategic alignment, identifying business opportunity and assessing risk.
2. Organisation: the AI-driven organisation requires fostering hybrid capabilities, and expanding the AI culture through AI literacy, as well as defining a myriad of roles and responsibilities. 
3. AI Lifecycle: transparency, reproducibility, and explicability of the processes are essential to properly manage AI at scale, being paramount to identify all requirements across the AI stages: from business opportunity to development, deployment and monitoring.

These three levers should help organisations continuously innovate by enabling fast experimentation, and foster AI-driven initiatives and go-to-market solutions with differentiated value.

Critical challenges arise for organisations when designing and implementing successful AI governance.

A key challenge is developing AI initiatives compliant with Ethical Principles such as Human Oversight, Transparency, Fairness, Diversity and Non-discrimination, Robustness of the systems, and Privacy.

In short, a positive impact of AI should create both business value and societal benefit. Organisations need to guarantee the development of responsible AI, complying with the regulation and trustworthy AI principles for contributing to the development of the communities where they operate, delivering positive impact to individuals and society.

Read the paper for more on:

• Key Levers of AI Governance
• Orchestrating Value and Risk Governance
• Defining the Accountability Framework, AI Literacy & Culture
• AI Lifecycle for Operational Agility
• Overcoming the Challenges for AI Driven Organisation