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AI regulations are here. Are you ready?
Summary
The article discusses how new regulations in the US and EU are requiring companies to provide transparency around their artificial intelligence (AI) and machine learning (ML) algorithms. In particular, the EU's proposed Digital Services Act (DSA) will require companies to explain how their predictions are made, and the US's proposed "AI Bill of Rights" will seek to prevent abuse by regulating transparency and privacy. Companies that use AI and ML need to prepare for these regulations by understanding what they entail and building explainable AI solutions.
Q&As
What is the goal of the EU's proposed Digital Services Act (DSA)?
The goal of the EU's proposed Digital Services Act (DSA) is to provide a legal framework that "creates a safer digital space in which the fundamental rights of all users of digital services are protected."
What does the DSA require of companies that use AI and ML?
The DSA requires companies that use AI and ML to provide transparency around their models and explain how predictions are made.
What is the timeline for DSA implementation?
The timeline for DSA implementation is January 2024.
What is the goal of the US government's proposed "AI Bill of Rights"?
The goal of the US government's proposed "AI Bill of Rights" is to protect American citizens and manage the risks associated with ML, recognizing that AI "can embed past prejudice and enable present-day discrimination."
What do companies need in order to comply with DSA?
Companies need algorithmic transparency in order to comply with DSA.
AI Comments
👍 It's good that these regulations are being put into place. It's about time somebody did something to protect consumers from the misuse of AI.
👎 These regulations are going to be a nightmare for companies to comply with. It's going to be expensive and time-consuming, and there's no guarantee that it will actually achieve its goals.
AI Discussion
Me: It's about upcoming regulations in the US and EU that will require companies to be more transparent about their algorithms.
Friend: That's interesting. I didn't know that was happening.
Me: Yeah, it's going to be a big deal for companies that use AI and ML. They're going to have to be able to explain how their algorithms work and why they make the predictions they do.
Friend: That makes sense. I can see why that would be important.
Me: Yeah, it's going to be a lot of work for companies to get up to compliance. But it's important for protecting consumers and making sure that AI is used responsibly.
Action items
- Understand what the regulations include and how they may impact your organization.
- Know what actions should be taken to ensure compliance with the regulations.
- Empower your organization to act now and build responsible AI solutions.
Technical terms
- Artificial intelligence (AI)
- A field of computer science and engineering focused on the creation of intelligent agents, which are systems that can reason, learn, and act autonomously.
- Machine learning (ML)
- A subfield of AI that deals with the creation of algorithms that can learn from and make predictions on data.
- Black box
- A term used to describe a system or process whose inner workings are unknown or mysterious.
- Digital Services Act (DSA)
- A proposed EU regulation that aims to provide a legal framework for the regulation of digital services.
- General Data Protection Regulation (GDPR)
- A EU regulation that deals with the protection of consumer privacy.
- Consumer Financial Protection Bureau (CFPB)
- A US government agency that is responsible for the regulation of financial institutions.
- National Institute of Standards and Technology (NIST)
- A US government agency that is responsible for the development of standards and technology.
- Model Performance Management (MPM)
- A type of software that is used to monitor and manage the performance of machine learning models.
- Explainable AI (XAI)
- A type of AI that is able to provide explanations for its predictions.