HOW AI WILL CHANGE Everyday Life

AI is already impacting our lives in various ways, and promises to be ubiquitous in the near future. But the challenges will need to be addressed, especially to ensure it helps make decisions that are ethical and free of any bias.

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According to a recent report by Gartner, by 2025, artificial intelligence (AI) will be a top five investment priority for more than 30% of CIOs globally. Some of the key trends that will shape the AI landscape in the next five years include:

AI engineering. A discipline that applies engineering best practices to AI development, deployment, and operation.

AI democratisation. The spread of AI tools and skills to a wider range of users, domains, and applications.

AI ethics. The study and practice of ensuring that AI systems are fair, accountable, transparent, and human-centric.

AI augmentation. The enhancement of human capabilities and performance by AI systems.

AI everywhere. The integration of AI into everyday devices, environments, and experiences.

Challenges in AI technology

Though there is a technology elevation in AI to machine learning, deep learning and generative AI, the rise of AI platforms and ecosystems also poses some risks and challenges, such as:

• The concentration of power and data in a few large AI platform providers, such as Google, Amazon, Microsoft, or Alibaba, which may stifle competition and innovation, and create dependencies and lock-ins for users and developers.

• The lack of standards and governance for AI platforms and ecosystems, which may lead to inconsistencies, conflicts, and vulnerabilities in the quality, performance, and security of AI systems and services.

• The complexity and heterogeneity of AI platforms and ecosystems, which may increase the technical and organisational challenges of developing, deploying, and managing AI systems and services, and require new skills and competencies.

To address these challenges, some of the best practices and recommendations for AI platforms and ecosystems include: