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Humans and AI: How Should You Talk About AI? Be Positive or Give Warnings?

DataRobot

AI and Uncertainty. Some people react to the uncertainty with fear and suspicion. Recently published research addressed the question of “ When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making.”. People are unsure about AI because it’s new. AI you can trust.

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. A single model may also not shed light on the uncertainty range we actually face.

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In AI we trust? Why we Need to Talk About Ethics and Governance (part 2 of 2)

Cloudera

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. Systems should be designed with bias, causality and uncertainty in mind. Uncertainty is a measure of our confidence in the predictions made by a system. We need to get to the root of the problem. System Design.

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What you need to know about product management for AI

O'Reilly on Data

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself.

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The state of data quality in 2020

O'Reilly on Data

The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Just 20% of organizations publish data provenance and data lineage. His insight was a corrective to the collective bias of the Army’s Statistical Research Group (SRG). Adopting AI can help data quality.

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The Role of Data Governance During A Pandemic

Anmut

In a time of uncertainty, it also pressures decision-making bodies even more into making the right decision. Indeed, the WHO technical guidance note that specifies exactly what data to report and how was published only beginning of June. COVID-19 exposes shortcomings in data management.

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Insight Launches New Post-Program Experience Funded via Income Share Agreement

Insight

Their latest placement and salary statistics are: 88% of Insight Fellows accept a job offer in their chosen field within 6 months of finishing the Fellows Program, and the median time to accept a job offer is 8 weeks. They work at over 700 companies across North America, with many of them working as heads of their teams.