How AI Could Fix What Seems Unfixable

Like many of you I watched last week’s Senate Judiciary Committee hearings, and I was struck by the fact that they seemed to be more about the Democrats fighting with Republicans to see which party could corrupt the Supreme Court more effectively than they were about senators doing their jobs. What bothers me most about that is, regardless of the goal, if you corrupt the highest court in the land you effectively destroy the Constitution — and by doing so, the country.

What artificial intelligence could bring to the table, assuming it were done as IBM wants to do it (bias free), is a focus on fixing problems, instead of the endless political exercise of one party beating the other.

Important Link

In watching last week’s testimony, I saw four serious problems:

  1. The process for reporting a problem concerning a Supreme Court candidate, particularly if the complaint involves an allegation of sexual assault, is convoluted. It puts both the complainant and the candidate at excessive risk.
  2. The process of selecting and confirming a Supreme Court Justice has been corrupted, both by the executive branch and by Congress.
  3. There is a distinct lack of focus on problem-solving (even identifying what the problem to be solved is).
  4. There appears to be no attempt to even find out what the will of the people is, let alone ensure that will is executed.

I’ll explain how an AI solution like IBM Watson, if implemented into all three branches of government, could improve the democratic process. I’ll close with my product of the week: the Windows Virtual Desktop announced at Microsoft Ignite, which takes us back to where we have wanted to go for years — to an appliance PC experience.

Protecting the Candidate and the Complainant

In watching Christine Blasey Ford’s testimony, it was painfully clear she was put at excessive risk. Further, her complaint damaged Judge Brett Kavanaugh before it was vetted. It was delayed, so it didn’t influence the initial selection as Ford had intended. Blame for parts of this can be assigned to both parties.

A deep learning AI system can be made into an expert at looking at patterns. With access to a government level of information, it quickly could determine whether a complaint was likely to be credible. It could be secured so that the complaint would not leak. It could determine near instantly if a complaint was obviously bogus.

It could score a complaint’s potential credibility and forward it to the appropriate agency for expedited processing and confidential investigation. It also could provide the complainant with recommendations as to what to do as an individual, inform about personal risks entailed by stepping outside the process, and even engage law enforcement to protect the complainant and the candidate, or recommend criminal actions against either if warranted.

Corrupting the Supreme Court Process

The president is empowered to fill an open seat on the Supreme Court. Congress then is missioned to ensure the candidate is qualified — not that the candidate is liberal or conservative, but that the person can do the job.

In a short period of time, we have seen both parties in Congress subvert this process in what appear to be to be separate efforts to corrupt the highest court in the land. This should be unacceptable to all of us.

A deep learning AI — given access to the Constitution, the complete background information on a candidate (because it could be secured), and any allegations brought forward — could provide a reliable recommendation. With no political agenda, it could provide a recommendation to Congress that would be separate from politics and consistent with the role of each branch of government.

It also could rank a list of candidates based on the quality of their public and private work. We want the best judges we can get in the Supreme Court, and a properly trained, vetted and secured AI could give us that. We desperately need this approach to safeguard the future of the U.S.

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