Radojka Miljevic
Partner,
Campbell Tickell
Ian Wright
CEO,
Disruptive Innovators Network
Thomas Lancefield
Lead for Social Housing, Salesforce
Introduction
Welcome to the fourth joint thought leadership report between Campbell Tickell and the Disruptive Innovators Network. Through these research projects, we attempt to shine a light on topical subjects but always through a practical lens. This one is no exception. AI is going to change the way we live and work, and social housing is not exempt from this. We hope you enjoy reading this report as much as we did preparing it.
It was Mark Twain who memorably observed: “Prediction is difficult – particularly when it involves the future.” We all know AI is the Next Big Thing, but it’s harder to know what that will mean for us. It could mean that oppressive authoritarian governments can step up their surveillance to the nth degree. Or maybe it heralds a glorious third industrial revolution, liberating us from humdrum tasks to focus on creativity, caring, fun and living our best lives.
The contributions in this report come from a range of perspectives, focusing mainly on the world of housing – but with lessons for all sectors. Above all, they remind us that AI is already here, improving processes, allowing better customer services, and occasionally getting things very wrong indeed. Sam Nutt helpfully spells out the ethical dilemmas of introducing AI, which may not always be as diversity aware as needed!
In conclusion, we were left pondering Vinay Parmar’s cautionary distinction between ‘warm’ and ‘cold’ AI. This wave of change will be as good or as bad as we humans choose to make it. If it’s just about cost savings and better voice menus, dystopia beckons. If it’s about customers, and making our values real, then cautious optimism can be in order.
To discuss any of the issues raised in this report, please email Radojka Miljevic, Ian Wright, or Thomas Lancefield.
This report is supported by Salesforce
Salesforce is thrilled to support this research paper on AI in social housing, acknowledging its transformative potential for the sector. Over the years, Salesforce has consistently expanded its AI capabilities, introducing advancements such as predictive analytics, natural language processing, image recognition, and now, generative AI, to enhance service delivery.
Committed to the ethical use of AI, Salesforce views it as a tool to augment human roles, aiming to improve customer interactions and help housing organisations meet growing demands effectively. We hope this research paper provides insight and guidance on AI within social housing and how organisations can get started with its transformative powers.
We interviewed a number of leaders and specialists as part of this research. Their quotes are intended to illustrate various points, but should not necessarily be taken as representing the views of Disruptive Innovators Network or Campbell Tickell.
DIN and CT would like to thank Gav Hollander once again for his time in researching and conducting the interviews for this report. He has an ability to take complex subjects such as AI and simplify them to make engaging and insightful content. If you would like to contact Gav for other similar projects, email gavhollander@gmail.com.
Gav Hollander
Artificial Intelligence and social housing
Introduction
Welcome to the fourth joint thought leadership report between Campbell Tickell and the Disruptive Innovators Network. Through these research projects, we attempt to shine a light on topical subjects but always through a practical lens. This one is no exception. AI is going to change the way we live and work, and social housing is not exempt from this. We hope you enjoy reading this report as much as we did preparing it.
It was Mark Twain who memorably observed: “Prediction is difficult – particularly when it involves the future.” We all know AI is the Next Big Thing, but it’s harder to know what that will mean for us. It could mean that oppressive authoritarian governments can step up their surveillance to the nth degree. Or maybe it heralds a glorious third industrial revolution, liberating us from humdrum tasks to focus on creativity, caring, fun and living our best lives.
The contributions in this report come from a range of perspectives, focusing mainly on the world of housing – but with lessons for all sectors. Above all, they remind us that AI is already here, improving processes, allowing better customer services, and occasionally getting things very wrong indeed. Sam Nutt helpfully spells out the ethical dilemmas of introducing AI, which may not always be as diversity aware as needed!
In conclusion, we were left pondering Vinay Parmar’s cautionary distinction between ‘warm’ and ‘cold’ AI. This wave of change will be as good or as bad as we humans choose to make it. If it’s just about cost savings and better voice menus, dystopia beckons. If it’s about customers, and making our values real, then cautious optimism can be in order.
To discuss any of the issues raised in this report, please email Radojka Miljevic, Ian Wright, or Thomas Lancefield.
This report is supported by Salesforce
Salesforce is thrilled to support this research paper on AI in social housing, acknowledging its transformative potential for the sector. Over the years, Salesforce has consistently expanded its AI capabilities, introducing advancements such as predictive analytics, natural language processing, image recognition, and now, generative AI, to enhance service delivery.
Committed to the ethical use of AI, Salesforce views it as a tool to augment human roles, aiming to improve customer interactions and help housing organisations meet growing demands effectively. We hope this research paper provides insight and guidance on AI within social housing and how organisations can get started with its transformative powers.
We interviewed a number of leaders and specialists as part of this research. Their quotes are intended to illustrate various points, but should not necessarily be taken as representing the views of Disruptive Innovators Network or Campbell Tickell.
Gav Hollander
DIN and CT would like to thank Gav Hollander once again for his time in researching and conducting the interviews for this report. He has an ability to take complex subjects such as AI and simplify them to make engaging and insightful content. If you would like to contact Gav for other similar projects, email gavhollander@gmail.com.
SHARE THIS PAGE
