The Sequence Scope: ML Fairness is Everybody’s Problem

Weekly newsletter with over 80,000 subscribers that discusses impactful ML research papers, cool tech releases, the money in AI, and real-life implementations.

📝 Editorial: ML Fairness is Everybody’s Problem

We typically associate fairness issues in machine learning (ML) models with large consumer tech startups like Facebook, Apple and Twitter. It seems easy enough to point the finger at biased decisions by ad-selection algorithms in Facebook or Apple’s credit evaluation models. While these examples are certainly visible and impactful, we should also understand that fairness is one of the hardest problems of modern ML. After all, let’s keep in mind that we haven’t quite figure out fairness in modern socio-economic models and we are still leaving in a world where bias, discrimination and dictatorial regimes are fairly prominent. The socio-economic fabric of modern societies has been built over centuries of unfairness and discrimination so it’s not like modern AI systems have the best teachers to learn from 😉 But let’s not get carried away because, after all, this newsletter is about ML technology and not philosophy.

🗓 Next week in TheSequence Edge:

Edge#77: the concept of Feature Store; the story of how Uber Michelangelo started the Feature Store movement; the exploration of the feature store market.

🔎 ML Research

Fairness Flow

🤖 Cool AI Tech Releases

Dataiku 9

💸 Money in AI

  • AI-powered fintech software company HighRadius raised $300 million in a Series C funding round. It leverages AI-based autonomous systems to help companies automate accounts receivable and treasury processes. It also enables teams to leverage ML to predict future outcomes and automate routine labor-intensive tasks.
  • AI-powered mentoring startup Cresta, raised $50 million in a series B round of funding. It’s AI learns from the best performers of client’s customer service and then provides real-time AI mentoring, best practices, and feedback across all customer communications.
  • Contextual analytics startup Windfall raised $21 million in venture capital. It provides a 360-degree view of a client’s database to accelerate workflows and drive better performance. One of the Windfall business’ focuses is nonprofits. The platform helps to estimate potential donors’ net worth at the household level, leveraging data and machine learning to make projections.
  • Auditoria raised $15.5 million in series A funding. By leveraging NLP, AI, and ML, Auditoria’s platform automates back-office business processes, including both routine tasks and complex functions, such as predictive analytical forecasting.
  • Conversational AI startup Uniphore raised $140 million in a Series D round of funding. Its solutions transform customer service by providing an automation platform where digital agents take over transactional conversations from humans, coach agents during calls, and accurately predict language, emotion and intent.
  • Account engagement platform 6sense raised $125 million at a valuation of $2.1 billion, a Series D. Its platform uses AI and big data architecture for sales and marketing functions such as identifying and engaging target accounts.
  • AI-powered virtual recruiting service Celential.ai raised $9.5 million in series A funding. Its Virtual Recruiter service uses precision matching and 360-degree mutual-fit assessment, simulating human experts, to match candidates to job openings from its graph of over three million software engineers in the U.S. and Canada.
  • Decentralized data cloud (DDC) platform Cere Network raised $5 million. It’s ambition is to compete with data cloud leader Snowflake leveraging blockchain technology and more efficient AI/ML tools.

CEO of IntoTheBlock, Chief Scientist at Invector Labs, I write The Sequence Newsletter, Guest lecturer at Columbia University, Angel Investor, Author, Speaker.

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