Chapter 27 Embracing AI for Social Risk Identification - Overcoming Resistance and Advancing ESG Measurement
02/09/24 • 10 min
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
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
Previous Episode
Chapter 26 Unleashing the Power of AI Transforming Workplace Dynamics through Precision Social Risk Identification
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
Next Episode
Chapter 28 Unveiling Parallels: AI Agents and the MeToo Movement in Addressing Workplace Social Risks
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
Measuring the ‘S’ in ESG - Chapter 27 Embracing AI for Social Risk Identification - Overcoming Resistance and Advancing ESG Measurement
Transcript
Welcome, my name is Freddie McMahon. In the workplace, Social Key Risk Indicators across every sector are substandard or missing. Reputation and value destruction can occur at any time. Conventional thinking has failed. Every few weeks, a new episode will briefly tackle one small thread of this challenge.
Chapter 27 Embracing AI for Social Risk Identification - Overcoming Resistance and Advancing ESG Measurement
Utilising AI Agents to interact with all members o
If you like this episode you’ll love
Episode Comments
Generate a badge
Get a badge for your website that links back to this episode
<a href="https://goodpods.com/podcasts/measuring-the-s-in-esg-263934/chapter-27-embracing-ai-for-social-risk-identification-overcoming-resi-44646720"> <img src="https://storage.googleapis.com/goodpods-images-bucket/badges/generic-badge-1.svg" alt="listen to chapter 27 embracing ai for social risk identification - overcoming resistance and advancing esg measurement on goodpods" style="width: 225px" /> </a>
Copy