*The future of work: Navigating the AI policy landscape*
By Anja Fordon, EMEA Staff Writer
In the grand tapestry of the digital age, AI and ML are the golden threads weaving a new pattern of innovation and opportunity. Yet, as with any transformative technology, they also introduce a complex labyrinth of policy implications that must be navigated with care. In Spiros Margaris's Podcast, Jens-Henrik Jeppesen and Chandler Morse from Workday shed light on this intricate maze, providing a compass for CIOs to chart their course.
Imagine the global AI policy landscape as a vast ocean. Europe, with its GDPR and forthcoming AI Act, is the first to cast its net, aiming to regulate the digital technology sector. Jens-Henrik Jeppesen, Senior Director, Corporate Affairs, EMEA & APJ at Workday, based in Brussels, likens the EU to a pioneering ship, setting the course for global AI regulation. The EU's AI Act is the first piece of legislation worldwide that aims to regulate AI. It sets the standard for global companies, influencing policy-making in other countries, including the US.
Chandler Morse, Vice President for Corporate Affairs at Workday, adds a US dimension to this narrative. He highlights the need for the US to harmonise its AI policy with the EU's, to ensure a level of cross-collaboration. The US, he suggests, is like a ship that needs to catch up with the EU's vessel, to avoid being left adrift in the vast ocean of AI policy.
However, the question arises: does this regulatory framework stifle innovation, or does it foster trust and facilitate growth? It's a delicate balance, like a tightrope walker performing a high-wire act. On one side, there's the need for innovation, and on the other, the necessity of building trust. The key, according to Morse, is to create an ecosystem of trust and excellence, where safeguards are in place to ensure market development without stifling innovation.
The Workday skills-based approach to employment is akin to a lighthouse guiding ships safely to shore.
Stifles innovation
Fosters trust and facilitates growth
Both equally
Unsure
The Workday approach to AI, particularly in relation to skills and workforce development, is a prime example of this balance. Imagine a world where employment opportunities are not determined by credentials, but by skills. This is the world that Workday envisions, a world where AI is used to augment human judgement and provide workers with the tools they need to make informed decisions. It's like giving a carpenter a new set of tools, enabling them to craft more intricate designs and build stronger structures.
The Workday skills-based approach to employment is akin to a lighthouse guiding ships safely to shore. It provides a path forward for these technologies, ensuring that the benefits of AI can be realised with a high level of trust. This approach is not only beneficial for employers, but also for employees, providing them with the opportunity to reskill and adapt to the changing landscape of the workplace.
In conclusion, the future of work is not a dystopian landscape where AI replaces human workers. Rather, it's a world where AI and ML are tools that augment human capabilities, providing opportunities for growth and development. For CIOs, the challenge is to navigate the complex labyrinth of AI policy, ensuring that their organisations can leverage these technologies to their full potential.
As we look towards the horizon, the future of work is a landscape shaped by AI and ML. It's a world where skills are the currency of the talent market and where trust and innovation coexist in a balanced ecosystem. It's a world where the golden threads of AI and ML weave a tapestry of opportunity and growth. And as we navigate this landscape, we must remember that the journey is as important as the destination. The future of work is not a destination, but a journey of continuous learning, adaptation and growth, during which, AI and ML are not just tools, but trusted companions, guiding us towards a future of limitless possibilities.
On one side, there's the need for innovation, and on the other, the necessity of building trust.
The future of work is not a destination, but a journey of continuous learning, adaptation and growth.
