Every week, my team at Invector Labs publishes a newsletter to track the most recent developments in AI research and technology. You can find this week’s issue below. You can sign up for it below. Please do so, our guys worked really hard on this:
From the Editor: Fairness in AI
One of the greatest benefits of artificial intelligence(AI) is that it can produce results that are pragmatic and not vulnerable to the subjectivity and biases of humans. However, that statement of only partially true. While AI systems don’t make decisions based on feelings or emotions, they do inherit a lot of human biases via the training datasets. Bias is relevant because it leads to unfairness. Defining a notion of fairness is one of the most important challenges of the next decade of AI.
Building more fairer AI systems seems like an obvious goal but how to we exactly define fairness. Conceptually, fairness can be define as a relationship between a sensitive input attribute such as race or gender and the output of the model. However, that’s just part of the equation. AI Fairness is directly related to the biases in the data generation model. This week, DeepMind published some clever work about how to build more fairer machine learning systems using a very old statistical model. DeepMind’s work is an example of the importance of the role that fairness will play in the next generation of AI systems.
Now let’s take a look at the core developments in AI research and technology this week:
AI and Quantum Computing
Google AI researchers published a new paper that proposes a framework for optimizing quantum computation models using machine learning
An Old Statistical Model to Improve AI Fairness
DeepMind published a new research paper discussing how causal Bayesian networks can improve the fairness of machine learning models.
High Quality Speech Synthesis
IBM Research published a new paper that proposes a better text-to-speech method for high quality speech synthesis.
Cool AI Tech Releases
TensorFlow 2.0 has launched with a lot of new cool features
Streamlit launches a new machine learning framework
Streamlit, a startup founded by a lot of AI industry veterans launched a new machine learning development framework accompanied by a $6 million series A.
New AutoML Capabilities
Google released new upgrades to AutoML Vision Edge and AutoML Video.
AI in the Real World
Tesla Adds AI Talent
Tesla quietly acquired DeepScale, a machine learning startup to improve its autopilot system.
AI for Designing Drugs
Novartis and Microsoft partner to develop drugs using AI
AI News Commentator
Microsoft built a bot that can comment on news