Video course · 15 chapters · 51 min · certificate
Part 4 - Decision Making
AI in decision-making for HR: how AI-supported decisions evolved, technological integration from data warehouses onward, current trends, key aspects like big data, automation and risk, descriptive and predictive tools, advanced decision tools, benefits, adoption challenges, ethics and culture, and future autonomous decisions.
What you'll learn
- Trace the evolution of AI decision-making
- Match analytics tools to decision types
- Use risk analysis and optimisation tools
- Weigh benefits like consistency
- Address adoption, ethical and cultural challenges
- Anticipate autonomous decision systems
Chapters
15 chapters · 50:56-
1:45
01Intro Members
Introduction
Module 2.
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2:35
02History Members
Evolution of AI decisions
Decision bodies.
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3:37
03Tech Members
AI technological integration
Data warehousing.
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3:56
04Trends Members
Current AI trends
Automation of decisions.
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3:02
05Aspects Members
Key aspects of AI decisions
Big data.
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3:24
06Risk Members
Automation and risk
Possibilities.
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2:33
07Tools Members
Types of AI tools
Descriptive and predictive.
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4:34
08Advanced Members
Advanced decision tools
Risk under uncertainty.
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5:20
09Benefits Members
Benefits of AI in HR decisions
Automation gains.
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1:55
10Consistency Members
Consistency and efficiency
Changing contexts.
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3:35
11Challenges Members
Adoption challenges
Enhancing efficiency.
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4:07
12Ethics Members
Ethical and cultural issues
Legal considerations.
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2:56
13Future Members
Future AI trends
Predictions.
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2:49
14Autonomy Members
Advanced future applications
Autonomous decisions.
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4:48
15Wrap-up Members
Summary and conclusion
Scenario analysis.
Jobs this course suits
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