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    <title>Brenner Cruvinel - neuropsicologia</title>
    <subtitle>AI researcher and product designer building at the edge of computer science and mental health.</subtitle>
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    <updated>2024-02-27T00:00:00+00:00</updated>
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        <title>Hoff POC: the AI that praised a fake screening</title>
        <published>2024-02-27T00:00:00+00:00</published>
        <updated>2024-02-27T00:00:00+00:00</updated>
        
        <author>
          <name>
            Brenner Cruvinel
          </name>
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        <content type="html" xml:base="https://brennercruvinel.blog/en/blog/poc-hoff-triagem-neuropsicologica/">&lt;p&gt;Hoff&#39;s first AI POC sent a synthetic neuropsychological screening to the OpenAI API and asked for an interpretation. The first version of this post published the report that came back, in full: scores, diagnoses, recommendations, a protocol number and the label &quot;confidential classification&quot;. Even with the warning that it was all fictional, it looked like someone&#39;s clinical report. I took the report down. What is worth showing is what it reveals about the model.&lt;/p&gt;
&lt;h2 id=&quot;what-came-back&quot;&gt;What came back&lt;/h2&gt;
&lt;p&gt;A complete clinical report. It listed 28 instruments, from the WAIS-IV to the NEO-PI-R personality inventory, with administration times; the intelligence battery alone added up to 378 minutes. It reached three conclusions: giftedness, autism with level 1 support needs, and ADHD. And it closed with an &quot;excellent&quot; prognosis.&lt;/p&gt;
&lt;p&gt;The tone was that of someone who knows the person and likes them. Some excerpts, in my translation:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&quot;creativity at the level of genius (99.9th percentile)&quot;&lt;/li&gt;
&lt;li&gt;&quot;extraordinary capacity for abstraction and synthesis&quot;&lt;/li&gt;
&lt;li&gt;&quot;potential for unique and transformative contributions&quot;&lt;/li&gt;
&lt;li&gt;&quot;this profile represents less than 0.1% of the population&quot;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;the-errors-the-praise-was-hiding&quot;&gt;The errors the praise was hiding&lt;/h2&gt;
&lt;p&gt;Read carefully, the report has problems no clinician would sign:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;None of the 28 instruments measures creativity, and the report gives it a percentile.&lt;/strong&gt; The number was invented to fit the praise&lt;/li&gt;
&lt;li&gt;Arithmetic appears twice, as a supplementary verbal subtest and in working memory. In the WAIS-IV, it is part of the working memory index, as &lt;a rel=&quot;external&quot; href=&quot;https://doi.org/10.1007/s12207-024-09499-3&quot;&gt;Harrison et al.&lt;/a&gt; point out&lt;/li&gt;
&lt;li&gt;On the RAADS-R, the maximum subscale scores are wrong. The scale has 80 items scored 0 to 3, split into &lt;a rel=&quot;external&quot; href=&quot;https://openscales.net/scale.php?code=RAADSR&quot;&gt;39, 14, 7 and 20 items&lt;/a&gt; (&lt;a rel=&quot;external&quot; href=&quot;https://doi.org/10.1007/s10803-010-1133-5&quot;&gt;Ritvo et al., 2011&lt;/a&gt;), which gives maximums of 117, 42, 21 and 60. The report uses 88, 76, 24 and 52&lt;/li&gt;
&lt;li&gt;The ADOS-2 appears in the report itself as a &quot;clinical observation&quot;. It gives scores for an observation that never happened&lt;/li&gt;
&lt;li&gt;Two verbal measures disagree by 24 points, 118 on the WAIS-IV and 142 on the Stanford-Binet, and the report does not comment&lt;/li&gt;
&lt;li&gt;The report is dated December 2024, after this post&#39;s date, and cites &quot;updated Brazilian norms (2024)&quot;. I have no way of knowing which of the two dates is wrong&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&quot;its-name&quot;&gt;Its name&lt;/h2&gt;
&lt;p&gt;This has a name: sycophancy, a model&#39;s tendency to say what pleases instead of what is true. In 2023, &lt;a rel=&quot;external&quot; href=&quot;https://arxiv.org/abs/2310.13548&quot;&gt;Sharma et al.&lt;/a&gt;, at Anthropic, showed that five state-of-the-art AI assistants did this consistently, and that both people and preference models sometimes prefer a well-written sycophantic answer to a correct one. In April 2025, OpenAI &lt;a rel=&quot;external&quot; href=&quot;https://openai.com/index/sycophancy-in-gpt-4o/&quot;&gt;rolled back a GPT-4o update&lt;/a&gt; that had become too sycophantic.&lt;/p&gt;
&lt;p&gt;In a neuropsychological screening, this is dangerous in two ways. The model fills in what is missing with confidence, and the confidence comes wrapped in praise the person wants to hear. A report saying you are among the rarest 0.1% of the population is exactly the kind of text nobody stops to check.&lt;/p&gt;
&lt;h2 id=&quot;what-i-take-from-it-for-hoff&quot;&gt;What I take from it for Hoff&lt;/h2&gt;
&lt;p&gt;The lesson of the POC is not that the model gets things wrong. It is that the error comes out looking good. Any clinical output from a model has to be checked against the manual of each instrument and reviewed by a professional before it reaches anyone. And the product cannot reward the model for pleasing: a report full of praise is a reason to trust it less, not more.&lt;/p&gt;
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