2 months 2 weeks ago
GUEST POST WRITTEN BY Drew Roselli, Jeanna Matthews, Nisha Talagala The potential for efficiencies and improvements has attracted many companies to invest in AI [1][2]. However, the specter of bias and its potential to cause harm can negatively impact a company’s reputation. Algorithmic bias not only carries risks of legal exposure, but it can also cause sub-optimal performance. For example, bias in lending practices can lead to both financial losses when bias favors bad credit risks, and missed…

3 months 1 week ago
I recently came across this job description for a data scientist (anonymized to protect the innocent) Responsibilities: Translate business requirements into machine learning product. Architect and Build machine learning software products for our core business. Communicate with business owners the strategy and rationale, define and execute a project plan Lead all aspects of ML automation including model training and development, feature selection and model tuning. Develop production…