Measuring the ‘S’ in ESG Freddie McMahon

This article explores the parallels between the use of AI Agents and the MeToo movement in addressing workplace social risks such as bullying, abuse, and discrimination. Both approaches aim to empower individuals, shed light on systemic issues, normalize speaking out, and catalyse organizational change. The article discusses the deployment of AI Agents, emphasising the importance of rigorous follow-up investigations by independent experts. Ultimately, by leveraging technology and social activism, organizations can create safer, more inclusive workplaces grounded in trust, accountability, and respect for all individuals.
Music by AlexiAction through Pixabay
Music by
AlexiAction through Pixabay
(3) Freddie McMahon | LinkedIn

Using AI agents to detect social risks among all employees is a major advancement. It allows quick response and provides valuable insights to the board. Implementing AI-driven risk detection promotes transparency, but resistance from management and supervisors may hinder its adoption. This resistance could compromise efforts to include AI in ESG metrics, affecting risk assessment and governance.
Music by AlexiAction through Pixabay
Music by
AlexiAction through Pixabay
(3) Freddie McMahon | LinkedIn

Embracing a holistic approach unlocks the full potential of AI in reshaping workplace dynamics by enabling precise identification of social risks. This comprehensive strategy not only harnesses the capabilities of artificial intelligence, but also ensures a nuanced understanding of the intricate interplay of factors influencing the social landscape within the workplace. Through this transformative lens, organizations can proactively address and navigate social risks, fostering a more inclusive, resilient, and adaptive work environment.
Music by AlexiAction through Pixabay
Music by
AlexiAction through Pixabay
(3) Freddie McMahon | LinkedIn

The ubiquitous discourse on Artificial Intelligence is propelled by its transformative potential, coupled with apprehensions regarding ethical implications and the imperative for conscientious development; exploring this dynamic further within the context of social risk management in the workplace becomes particularly pertinent. 
Music by AlexiAction through Pixabay
Music by
AlexiAction through Pixabay
(3) Freddie McMahon | LinkedIn

There is a compelling argument that an AI Agent is better suited to identify social risks in the workplace compared to managers spread across organisational hierarchies and silos. This podcast makes the case for using AI Agents rather than managers as the first point of contact for social risk identification. This alternative approach provides the means to sense early and respond smartly with the right type and blend of human intervention.  
 It is time to challenge strategic convention. At the very least exploring alternative scenarios provides the means for fresh thinking to an age-old problem. 
 
Music by AlexiAction through Pixabay
Music by
AlexiAction through Pixabay
(3) Freddie McMahon | LinkedIn

From many studies, whereby all forms of bullying, abuse, and discrimination persist, the common pattern is the lack of responsibility and accountability of some managers. Imagine the reporting of social risk is through the interaction with an AI Agent rather than a manager.  
Music by AlexiAction through Pixabay
Music by
AlexiAction through Pixabay
(3) Freddie McMahon | LinkedIn