The Innocence Machine: From 'Gideon' to Gigabytes
In his Criminal Law column, Ken Strutin writes: Supercomputers can be groomed to find meaningful connections between the unstructured data of conviction and the lessons of exoneration. Given that these machines already exist, the only question is why they haven't been turned on?
September 25, 2017 at 02:03 PM
5 minute read
At a time when human laws keep the innocent from connecting with justice, Moore's law might bring them together. Cognitive computing, deep learning and natural language can uncover mosaics of innocence concealed from human eyes. The supercomputer that helps law enforcement find the guilty, when inclined, is poised to identify the unexonerated.
Computer programs, tirelessly and innovatively searching databases, hold the keys to unexplored justice. The hidden interstices of innocence locked away in files and mainframes might be teased out by algorithms. Indeed, exoneration is born from information that is often inaccessible, but when discovered, unassailable.
Consider the injustices brought to light by group exonerations, reported by the National Registry of Exonerations, and systemwide problems making headlines. See, e.g., “Massachusetts Supreme Court Dismisses 21,000 Drug Convictions Following Chemist Misconduct,” Paper Chase (Jurist), April 21, 2017.
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