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Future Directions and Ethical Considerations

In: Machine Learning for Practical Decision Making

Author

Listed:
  • Christo El Morr

    (York University)

  • Manar Jammal

    (York University)

  • Hossam Ali-Hassan

    (York University, Glendon Campus)

  • Walid El-Hallak

    (Ontario Health)

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].

Suggested Citation

  • Christo El Morr & Manar Jammal & Hossam Ali-Hassan & Walid El-Hallak, 2022. "Future Directions and Ethical Considerations," International Series in Operations Research & Management Science, in: Machine Learning for Practical Decision Making, chapter 0, pages 449-460, Springer.
    • Handle: RePEc:spr:isochp:978-3-031-16990-8_16
    DOI: 10.1007/978-3-031-16990-8_16
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