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AI IA The Good The Bad, What does this mean for IA?, What does this mean…
AI IA The Good The Bad
Use of metadata
Simulation and scenarios
Thinking out of box
Rapid data processing
Multiple data sets
Water use
Energy use
Data availability
Data quality
Garbage in out
Plagiarism
Beyond human thought
Making sense of it all
Multiple futures
Incorporating to decisions
Optimization of decisions
Data access
Speed of change
Singularity
Losing human control - overuse of automation
Understanding complex relationships
Better IA?
Gaming
Non rational thought
Synthesizing multiple IAs
E-waste
Privacy & security
What does this mean for IA?
Cost effective, faster reporting cycles,
improved predictive modeling
opportunities for learning and education
improved stakeholder engagement
enhanced compliance and governance
global remote accessibility - AI tools (drones, satellites) can access sites that are hazardous or inaccessible
project based AI
What does this mean for IA?
Assessing impact of AI (data centers)
an AI system is only as good as the availability, quality, and access to data
in country capacity to use AI - technology gaps
cultural and indigenous knowledge might not be adequately represented in AI systems
scalability of AI for SEA?
Is it really here, now and ready?
The Bad
The Good
should this be in the good?