Using AI in a Responsible Way in the Workplace
What principles, tools, processes and policies can best ensure that AI is not only built but used and monitored responsibly in the workplace?
Artificial Intelligence (AI) is increasingly permeating all aspects of organisations, with businesses of all sizes trying to leverage the technology to enhance productivity, improve decision-making, automate processes, and reduce costs. As AI gains momentum and becomes increasingly integrated into the workplace, significant questions arise about how to protect employees' rights and ensure integration enhances productivity in a meaningful way.
In light of the heightened public concern surrounding AI use and expansion, its complexities and its potential for biases and misuse, it is vital that companies proactively deploy AI responsibly, ethically and in a trustworthy way. From recruitment and hiring practices to communication and evaluation of workers, what best practices and frameworks are being used to ensure privacy, transparency, fairness and accountability? How can organisations cultivate trust in their utilisation of AI at work and encourage employee buy-in? In what ways are businesses and policymakers collaborating to advance trust in AI? How can AI systems be built, used and governed to unleash their full potential while building trust, enabling responsible innovation, and allowing for continuous improvement?
This webinar, organised by the Financial Times in partnership with Workday will be filmed and broadcast from Davos on the sidelines of the World Economic Forum Annual Meeting. The panel will discuss the steps companies are taking - or should take - toward the responsible use of AI in an ever-evolving workplace. Focus will be placed on governance and risk management structures, accountability mechanisms and safeguards for ethical decision-making.
Key Discussion Points
What role does trust play in AI acceptance and adoption in the workplace? What are the drivers of trust?
How comfortable, trusting and supportive of AI are workers for hiring processes, performance management and professional development matters?
What best practices related to privacy and data security, transparency, human review in outputs and fairness testing can minimise biases and risks when AI systems are used in the workplace?
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