The “smart grid” refers to an ongoing modernization of the nation’s electrical power system that makes it possible to dynamically allocate power and optimize system operation. It’s a work in progress.
A new report from the Congressional Research Service reviews smart grid technologies, costs and concerns including privacy and cybersecurity. See The Smart Grid: Status and Outlook, April 10, 2018.
Other new and updated reports from the Congressional Research Service this week include the following.
An Overview of Discretionary Reprieves from Removal: Deferred Action, DACA, TPS, and Others, April 10, 2018
Class Action Lawsuits: A Legal Overview for the 115th Congress, April 11, 2018
The Bipartisan Budget Act of 2018 and an FY2019 Budget Resolution, April 10, 2018
Trade Promotion Authority (TPA): Frequently Asked Questions, updated April 10, 2018
Infantry Brigade Combat Team (IBCT) Mobility, Reconnaissance, and Firepower Programs, updated April 10, 2018
Tort and Litigation Reform in the 115th Congress, CRS Legal Sidebar, April 10, 2018
Mississippi Court Halts Enforcement of New Abortion Law, CRS Legal Sidebar, April 10, 2018
OMB and Treasury Disagree over Process for Issuing New Tax Rules, CRS Insight, April 10, 2018
Balanced Budget Amendments, CRS Insight, April 10, 2018
U.S. Foreign Aid to Israel, updated April 10, 2018
Commercial artificial intelligence tools have recently emerged that are able to produce police reports. If the resulting reports are inaccurate, incomplete or biased, or if the process leaks confidential information, this could undermine the criminal justice system and harm citizens.
Too often, affected patients, clinicians, and regulators cannot see how the system works, why a decision was made, or whether meaningful human oversight occurred.
Existing tools from other domains, such as existing robust public engagement processes in drug development, when applied to AI deployment can help strengthen public trust in these systems and enhance perceptions of their legitimacy and the decisions they produce.
With thoughtful policy action, it is still possible to build systems that are fair, transparent, and accountable, and to earn the public trust that will ultimately determine AI’s future. We hope policymakers are ready to act.