Future Directions and Ethical Considerations

Christo El Morr, Manar Jammal, Hossam Ali-Hassan and Walid El-Hallak ()
Additional contact information
Christo El Morr: York University
Manar Jammal: York University
Hossam Ali-Hassan: York University, Glendon Campus
Walid El-Hallak: Ontario Health

Chapter Chapter 16 in Machine Learning for Practical Decision Making, 2022, pp 449-460 from Springer

Abstract: Abstract Artificial intelligence and machine learning have significantly advanced in the last few years and are expected to continue a trajectory of increased adoption and impact. This growth is driven by a number of technological and social developments over the past few years. According to Gartner, a technology research and consulting firm, the drivers for growth in AI are (1) the increasing volume and availability of big data and the developments in parallel processing systems that can cost-effectively store and process data at massive scale; (2) the advancements in computer hardware, particularly the emergence of powerful graphics processing units (GPUs) for complex computations; (3) the development of new machine learning (ML) techniques; (4) the emergence of cloud computing, which enables faster experimentation with and operationalization of AI with lower complexity; and (5) the vibrant open-source ecosystem, which has enabled many deep learning frameworks and resulted in an explosion of startups [1].

Date: 2022
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:isochp:978-3-031-16990-8_16

Ordering information: This item can be ordered from
http://www.springer.com/9783031169908

DOI: 10.1007/978-3-031-16990-8_16

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().