Artificial intelligence has best effect when it acts as human collaborator- 10 Top research findings suggest ways for responsible ai usage.

Artificial intelligence will do down in history as one of the biggest discoveries of humankind of this decade, debate arises when artificial intelligence occurs the status of super intelligence. A collections of high impact research findings from Nature to Nature reviews of psychology suggests key pathways of caution while using AI.

1.Dont trust the source blindly- Ai hallucination is a real thing, to avoid fabrication of facts always check authentic sources and feed the prompt with right context. If you are a student or research the hallucination of facts may let to an incorrect drafting of assignments. Check reliable sources in search list to retrieve authentic information.

2.Outsourcing cognitive process to ai is a bad idea- Human brain has a capacity to learn new things make new neuronal connections called neuronal plasticity, practice reading a book write few words on note pad works with better brain hand connection.

3.Learning should never take a back seat- Performance may improve with ai guided submission of projects, but with gptzero screener and other aids can easily screen the percentage of ai impact in comparison to individual contribution.

4.First Idea Should Be Human- Humans trained ai, it shouldn't be other way around. The origination of ideas from human cognition has maximum impact on final outcome, ai usage should complement the thought process. Cognitive debt is a brain drain for real and technologies that accelerate it the dependance should be gauged to minimum.

5.The latest models can go wrong- Don't believe in fancy 100 percent accuracy tabs, to avoid hallucination feed the correct dataset or resources from which reliable conclusions can be derived. A researcher can guide ai with pdf or abstract links of researches.

6.Use Domain knowledge to supervise ai results- Domain knowledge at not point is a skill that cannot be replace, specific knowledge associated with field of expertise helps the person to supervise the out put from ai models, experience helps in refining the search strategy so that right information is being retrieved.

- Ai bias- Biases are real based on the type of training that a particular model has received, diverse set of ideas and perspectives are need to have a holistic view point approach covering all corners. Ai may lag in the aspect of understanding human array of thought if its not subjected to training on various thought patterns viewpoints .

8.High stake judgement remains human- Ai should never be used as a final decision maker, once all the essential facts are gathered analysis and decision making should remain human, this hold true for work place appraisal evaluation as metrics may not capture all aspects of human performance.

9.Dont hide ai use- Proper disclosure whenever usage is done adds to your credibility than concealing it, near to perfect language usage happens most of the time with ai adoption. A student can properly document which aspects of the coursework he or she took the aid of technology. Utmost care should be made that the writing aspect has predominant human element with minimal ai contribution.

- Keep Learning- Ai has learned from billions of human neurons, humans as a species if outsource the cognitive thinking we fail miserably with the cognitive advancement. Regular learning in traditional way , writing down with pen or paper, reading loud or in mind all has its merit.

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