We recently launched our weekly 3-2-1 on AInewsletter, where we share some of our favorite resources and discussions on the latest AI industry trends, data and thought-provoking quotes, and what we’ve been working on.
Check out a summary of last month’s links below and sign up to receive our weekly newsletter straight to your inbox here.
Top picks from the AI Community
MIT researchers have found that, if a certain type of machine learning model is trained using an unbalanced dataset, the bias that it learns is impossible to fix after the fact. They developed a technique that induces fairness directly into the model, no matter how unbalanced the training dataset was, which can boost the model’s performance on downstream tasks. (Article)
The scope of possible uses for AI and machine learning in finance stretches across business functions and sectors. In step with this increase in the use of AI, it is important that controls on how AI is set up and applied are put in place to ensure systems are robust, fair and safe. A look at how to drive innovation in finance through trustworthy AI. (Article)
As companies increasingly apply AI, they must address concerns about trust. As part of the World Economic Forum's Global Future Council on AI for Humanity, a collective of AI practitioners, researchers and corporate advisors propose 10 practical interventions for companies to employ to ensure AI fairness. (Article)
Pent-up demand is one of the fundamental forces currently driving inflation. With AI and machine learning-enabled demand planning solutions, retailers and manufacturers can better predict where there will be demand, as well as where inventory should be placed to streamline their supply chains. (Article)
UK financial regulators recently warned banks that they can only deploy AI to approve loan applications if they can prove it will not worsen discrimination against minorities, one of the strongest and most specific stances on AI to be publicly announced to date. (Article)
Stanford University’s Institute for Human-Centered Artificial Intelligence published its 2022 AI Index Report. The report evaluates the rate of AI research, development, and technical performance. It also highlights ethics in AI, with a new chapter on fairness and bias. (Report)
Co-founder of Metamind and former AI lead at Salesforce, Richard Socher, shares a decade of insights on doing AI at startups vs. enterprise companies, and how new machine learning techniques can empower companies to build advanced products with a fraction of the resources they would have needed in the past. (Interview)
As companies seek to harness their data more efficiently, every department from sales to finance to IT can find opportunities with autonomous operations. John Roese, global chief technology officer at Dell Technologies, discusses how to build better human-machine partnerships with MIT Technology Review's Business Lab. (Podcast)
Despite rising investments in AI by today’s enterprises, trust in insights delivered by AI can be a hit or a miss with the C-suite. Are executives just resisting a new technology, or is their hesitancy rooted in something deeper? A look at why humans still need to be in the decision loop for the near future. (Article)
AI Quotes We Love
“The business value of AI in banking will reach $300 billion by 2030.” – IHS Markit
“Our intelligence is what makes us human, and AI is an extension of that quality. Artificial intelligence is extending what we can do with our abilities. In this way, it’s letting us become more human.” – Yann LeCun
“The new shape of teams will call for leaders who are skilled in bringing different parties together. In the future, creating inclusive teams by aligning man and machine will be an important ability to be trained and developed.” – David De Cremer
“The ability to doubt, to question ourselves, to pursue what we don’t yet know, powers the scientific creativity that created AI in the first place.” – Stephen M Fleming
“Spending on AI in the U.S. will grow to $120 billion by 2025. The U.S. also accounts for more than half of all AI spending worldwide.” – IDC
“While nearly everyone would accept the premise about the connection between decisions and results, few companies look systematically at what gets in the way of good decision-making and execution. And few take the actions necessary to improve how they make and execute their important decisions.” – Bain & Company
... and an update on Apres
The EU AI Act is part of a wave of regulatory moves that are likely to transform everything we know about AI today. We put together an overview of the draft regulation and how Apres can help put your organization on the right side of AI.