Emotion-reading tech fails the racial bias test

Phys.org  January 3, 2019 Researchers at Wake Forest University compared the emotional analysis from two different facial recognition services, Face and Microsoft’s Face API. Both services interpreted black players as having more negative emotions than white players. According to the researchers there are two different mechanisms. Face consistently interprets black players as angrier than white players, even controlling for their degree of smiling. Microsoft registers contempt instead of anger, and it interprets black players as more contemptuous when their facial expressions are ambiguous. As the players’ smile widens, the disparity disappears. The finding has implications for individuals, organizations, and society, […]

MIT has just announced a $1 billion plan to create a new college for AI

MIT Technology Review  October 15, 2018 The new college of computing is being built with $350 million in funding from Stephen A. Schwarzman, the CEO and cofounder of a private equity firm. The school will open next September. Under the recent initiative, the Quest for Intelligence, it aims to make breakthroughs in AI by bringing together researchers from cognitive science and neuroscience as well as computer science. According to the president of MIT the new approach was necessary because of the way computing, data, and AI are “reshaping the world”…read more.

Invention of ionic decision-maker capable of self-learning

Eurekalert  October 15, 2018 Researchers in Japan have developed a decision-making ionic device capable of operating using electrochemical phenomena induced by the movement of protons within a solid electrolyte. When the device makes a correct decision, ions migrate toward the electrode associated with the decision. They applied this mechanism to a congested radio communication network and succeeded in demonstrating that the device can select an optimum communication channel to be assigned for a given transmission to achieve the most effective overall channel utilization in relation to changing congestion situations and more complex decisions. The invention may lead to the development […]

DARPA Announces $2 Billion Campaign to Develop Next Wave of AI Technologies

DARPA  September 7, 2018 Starting in the 1990s, DARPA helped usher in a second wave of AI machine learning technologies that created statistical pattern recognizers from large amounts of data. To address the limitations of the first and second wave AI technologies, DARPA seeks to explore new theories and applications that could make it possible for machines to adapt to changing situations. To better define a path forward DARPA announced a multi-year investment of more than $2 billion in new and existing programs called the “AI Next” campaign. Under AI Next, key areas to be explored may include automating critical DoD […]

AI for cybersecurity is a hot new thing—and a dangerous gamble

MIT Technology Review  August 11, 2018 Many firms are now rolling out machine-learning-based products to get an audience with customers who have bought into the AI hype cycle. According to experts many products being rolled out involve supervised learning. The training information they use has not been thoroughly scrubbed of anomalous data points which could lead to the algorithm missing some attacks. Other concerns include difficulty of figuring out why some very complex algorithms spit out certain answers and overreliance on a single, master algorithm to drive a security system. Experts emphasize the importance of monitoring and minimizing the risks… […]

Accelerating the Exploration of Promising Artificial Intelligence Concepts

DARPA  July 7, 2018 Artificial Intelligence Exploration (AIE) will constitute a series of unique funding opportunities that use streamlined contracting procedures and funding mechanisms to achieve a start date within three months of an opportunity announcement. Researchers will then work to establish the feasibility of new AI concepts within 18 months of award. The agency’s diverse portfolio of fundamental and applied AI research programs is aimed at shaping a future in which AI-enabled machines serve as trusted, collaborative partners in solving problems of importance to national security… read more. BAA