ELIZA EFFECT: Why we’re obsessed with AI

AI Eliza

The fact that AI is a major topic of public interest can be attributed to discourse on our ethical responsibilities and questions like “What is AI capable of doing?” and “What is it doing to us?”

Derived from the 60s ELIZA , a program that allowed virtual psychotherapists , the Elizabeth Effect shows how a simple technique can bring deep emotional reactions.

ELIZA was mainly run by inbuilt logic structures that allowed it to detect keywords in user’s sentences and formulate dialogue with them. Nonexample of complexities, mostly the fact that physicists themselves are human, they have bias in their scientific approach, they can arrive at generalization which are not based on facts but on pseudo-scientific beliefs, which when wrong, they can have serious consequence in re-writing science as we know it. The relativity theory is one of the many discoveries which takes intelligence to re-write history of science, in the

The age-old saying says «Supply and demand», and this concept focuses on the dichotomy between user satisfaction and the functionality of AI. Whilst people can be satisfied by AI which mirrors themselves thoughts and feelings down it doesn’t mean that AI has a deep access to wisdom or understanding 🧐

The role of the user experience (UX) design in constructing our opinion about artificial intelligence (AI) is crucial. Improve interaction with the interface to make it more human-like, that is how users got used to interface design over decades. Nevertheless, it is vital to point out the difference between technical finesses in the design and in the advancements of AI.

We find out that the ELIZA effect indicates how readily we form ties, rather than the level of sophistication of AI, and only shows us our psychological readiness. Analyzing the traps of assigning human-like features to AI and the risks of mistaking it for thinking brain is a significant element of evaluating AI progress. This is highlighted by ELIZA, the historical example, who serves as a lesson that measures of human-ness in an AI are a result of creative choices applied to the interface interaction rather than technological advanced intelligence of AI.

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