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Anti-Bias AI

Artificial Intelligence technology integrates neutrality features across industries

Trend - Discussions around the potential bias of AI technology and AI as a catalyst for neutrality across industries such as recruitment and journalism have those in the tech space reinspecting how best to use AI this way. Technology is often regarded as a tool for eliminating human bias.

Insight - Though technology can help eliminate human bias, Artificial Intelligence technology specifically builds its intelligence typically through human-curated data. This means AI can still harbor taught biases. It is a unique time to explore how to alleviate this issue. People are both more open to AI across different industries and increasingly cognizant of inclusivity and neutrality. Building AI that is truly free of bias, then implementing it into different spaces will achieve both needs.
Workshop Question - Which area of your business could benefit from bias-eliminating AI?
Trend Themes
1. Anti-biased AI - The development of anti-biased AI technology across industries.
2. Inclusive Machine Learning Models - Efforts to create machine learning models that are more inclusive and less biased.
3. AI Trustworthiness - Efforts to ensure trustworthiness in AI technology through transparency and accountability.
Industry Implications
1. Recruiting - Implementation of AI technology in recruitment processes to eliminate biases.
2. Corporate HR - Introduction of AI-powered anti-bias platforms to enhance diversity at workplaces.
3. Predictive Analytics - AI-driven predictive analytics tools that are designed to ensure fairness and inclusivity.
3.5
Score
Popularity
Activity
Freshness
Patterns
Megatrends
4 Featured, 19 Examples:
34,659 Total Clicks
Date Range:
Feb 21 — Jul 21
Trending:
Mild
Consumer Insight Topics:

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