Join us for the second American Bar Association Artificial Intelligence and Robotics National Institute beginning September 30, 2020.

I love practicing the law of artificial intelligence in Silicon Valley in the 2020s.

In a judgment issued last week, the European Court of Justice invalidated the EU-U.S. Privacy Shield Program.

One of the key challenges to machine learning artificial intelligence systems is the compliance challenge of meeting legal requirements for transparency.

Organizations using machine learning systems require data to train their systems. They must have the right to use that data or risk getting into trouble.

With limited budgets for legal fees, what kinds of contracts do startup artificial intelligence and robotics companies really need?

Learn whether HIPAA compliance is required for the operation of robots and artificial intelligence systems in a healthcare setting.

Human bias can creep into artificial intelligence systems intended to make objectively fair decisions. Learn how to minimize its prevalence and mitigate your risk.

Artificial intelligence and robotics companies are particularly at risk for espionage and cybersecurity threats.

Attempting to balance risk with the promise of a first-mover advantage when entering a new market is a difficult task, but vital.

Explainability is the extent to which the deep learning system decisions can be explained in human terms. Read to learn how it might impact you under GDPR.

Learn the risk factors associated with personal data collection in public spaces by video surveillance of blockchain technologies including IoT, Big Data, artificial intelligence, and robotics.

The European Union’s GDPR privacy and security law creates firm limits and regulates how companies can collect, store, use, share and access personal data.

AI and robotics shouldn’t be looked at in isolation to each other, to themselves, or to other types of technologies.

Privacy within AI and robotics systems involves the personal data of individuals and how that data is collected, how it’s used, and with whom it’s shared.

One of the hot topics today that we're facing is looking at the ethical and moral implications of using artificial intelligence systems and robots.

In creating best development practices, it’s important to be inclusive in your approach. Developing and then marketing and selling a product will most likely end up involving every business unit; with that in mind, you need to make sure to include leaders or representatives from all affected units so that they can drive their divisions towards the common goal.