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Full-Text Articles in Law
Protecting Whistleblowing (And Not Just Whistleblowers), Evan J. Ballan
Protecting Whistleblowing (And Not Just Whistleblowers), Evan J. Ballan
Michigan Law Review
When the government contracts with private parties, the risk of fraud runs high. Fraud against the government hurts everyone: taxpayer money is wasted on inferior or nonexistent products and services, and the public bears the burdens attendant to those inadequate goods. To combat fraud, Congress has developed several statutory frameworks to encourage whistleblowers to come forward and report wrongdoing in exchange for a monetary reward. The federal False Claims Act allows whistleblowers to file an action in federal court on behalf of the United States, and to share in any recovery. Under the Dodd- Frank Act, the SEC Office of …
Gerrymandering And The Constitutional Norm Against Government Partisanship, Michael S. Kang
Gerrymandering And The Constitutional Norm Against Government Partisanship, Michael S. Kang
Michigan Law Review
This Article challenges the basic premise in the law of gerrymandering that partisanship is a constitutional government purpose at all. The central problem, Justice Scalia once explained in Vieth v. Jubilerer, is that partisan gerrymandering becomes unconstitutional only when it “has gone too far,” giving rise to the intractable inquiry into “how much is too much.” But the premise that partisanship is an ordinary and lawful purpose, articulated confidently as settled law and widely understood as such, is largely wrong as constitutional doctrine. The Article surveys constitutional law to demonstrate the vitality of an important, if implicit norm against …
Regulating Black-Box Medicine, W. Nicholson Price Ii
Regulating Black-Box Medicine, W. Nicholson Price Ii
Michigan Law Review
Data drive modern medicine. And our tools to analyze those data are growing ever more powerful. As health data are collected in greater and greater amounts, sophisticated algorithms based on those data can drive medical innovation, improve the process of care, and increase efficiency. Those algorithms, however, vary widely in quality. Some are accurate and powerful, while others may be riddled with errors or based on faulty science. When an opaque algorithm recommends an insulin dose to a diabetic patient, how do we know that dose is correct? Patients, providers, and insurers face substantial difficulties in identifying high-quality algorithms; they …