Developing Responsible AI Business Model

Sundaraparipurnan Narayanan ()
Additional contact information
Sundaraparipurnan Narayanan: AI Tech Ethics

A chapter in Responsible Artificial Intelligence, 2023, pp 205-217 from Springer

Abstract: Abstract In the age of mobile apps, Internet of things, or connected devices, we are in the process of creating more data by 2025, than the data generated cumulatively during 2011–2020. Data is one of the precious resources in today’s time and cannot be undermined (Antonio Neri, March 2020). Building and developing data and artificial intelligence & machine learning businesses that are based on Responsible Artificial Intelligence (AI) business models are critical to not just enable better sustainable businesses, but also be valued by stakeholders at large. This chapter will cover the approach towards Responsible AI business models.

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:csrchp:978-3-031-09245-9_10

Ordering information: This item can be ordered from
http://www.springer.com/9783031092459

DOI: 10.1007/978-3-031-09245-9_10

Access Statistics for this chapter

More chapters in CSR, Sustainability, Ethics & Governance from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().