Report
Ethics owners: a new model of organizational responsibility in data-driven technology companies
Publisher
Governance
Business ethics
Information resources management
Sector regulation
Communications regulation
Ethics
Information technology
Technology ethical aspects
Resources
| Attachment | Size |
|---|---|
| Ethics owners: a new model of organizational responsibility in data-driven technology companies | 644.34 KB |
Description
While actual job titles vary, ethics owners are tasked with 'translating public pressure into new corporate practices' by creating an ethical framework for technology workers to operate within. While previous ethical frameworks exist in practice in many sectors, none of these fully encompass the unique work of ethics owners within technology companies.
Ethics owners run up against a multitude of challenges; what counts as ethics is not always clearly defined, and product designers and engineers don’t necessarily consider ethics integral to their role. Others view ethics owners as a compliance function, and might even consider them an annoyance. The authors identify six fundamental tensions that ethics owners face:
- Personal ethics: The personal ethics of the ethics owner do not always align with those of the corporation.
- Limiting harms: It’s easier to advocate for changes that limit harms rather than those that benefit the user.
- Business models: Whether it’s a direct-to-consumer or business-to-business model, standard practices vary and the business model has implications for how ethics owners approach their work.
- Non-measurable impact: Ethics owners’ work often cannot be measured with Silicon Valley’s traditional metrics model. They must work to create new ways of measuring impact.
- Users/nonusers: Ethics owners only have information on their users, making it difficult to understand the impact of their products on nonusers despite being tasked with understanding the full societal impact.
- Scale: Ethics must be applied contextually, and are difficult to scale across an industry, or even across teams in a single company.
Publication Details
Copyright:
Data & Society Research Institute 2020
License type:
CC BY-NC-SA
Access Rights Type:
open
Post date:
24 Sep 2020
