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Leonardi et al. (2024) Artificial Intelligence and Organizational…
Leonardi et al. (2024)
Artificial Intelligence and Organizational Communication
Artificial Intelligence (AI)
transform
inputs (data) into outputs (decisions)
2.
training data
uncertainty
adaptivity
opacity
❤️ of AI -> AI is not neutral or objective, but shaped by human decisions embedded in data
Weak AI
specific tasks, current reality
Strong AI
human-like cognitive abilities, not yet achieved
embedded in
sociomaterial networks
algorithms
data quality
human decisions
infrastructural conditiond
NOT NEUTRAL
biased datasets → biased predictions
sampling issues → inaccurate results
“garbage in, garbage out”
Machine Learning
supervised
trained on labelled data (input-output pairs)
prediction/classification
e.g. spam detection
unsupervised
identifies patterns without labelled outcomes
used for clustering, grouping, anomaly detection
reinforcement
learns through trial-and-error using rewards/punishments
dynamic environments
AI & Communication Processes
Communication Displacement
AI replaces human communication/decision-making → reduces interpretive flexibility
Communication Augmentation
AI enhances human decision-making → creates dependency on AI interpretation
Communication Representation
AI communicates on behalf of humans
→ challenges authorship and identity
Communication Core Concepts
Agency
algorithmic agency vs. symbiotic agency
Trust
depends on transparency and task type
Power/Bias
embedded in data and algorithm design
Visibility
increasingly shaped by algorithmic selection