The continuous expansion of artificial intelligence is generally seen as a positive development, but it nevertheless manages to instill fear for future job opportunities.
Perhaps the most asked question in 2023 was how many jobs could be replaced by artificial intelligence.
A Goldman Sachs report on the impact of artificial intelligence on economic growth warned that the potential capabilities of generative artificial intelligence could lead to significant disruption in the labor market, potentially affecting around 300 million jobs globally.
According to the report, AI could affect 63% of jobs, especially in areas such as customer service.
After numerous research and analysis, there is no doubt that artificial intelligence will have an impact on job opportunities.
In addition to the partial and complete replacement of certain job positions, artificial intelligence will also create new job positions.
This type of engineer creates and designs input commands for large language models (LLM). A prompt indicates an input instruction that tells the LLM model what to do. These models can generate and translate text into different languages, analyze specific text or code, and so on.
Prompt engineering is a relatively new field, but it is growing rapidly and is expected to be in high demand in the near future.
These engineers should have a deeper understanding of how LLM models work.
The emergence of the AI trainer role aligns with the increasing use of generative artificial intelligence systems in various sectors, especially in the area of customer service. The AI trainer plays an important role in helping the AI platform, facilitating its understanding of business details and improving responses for a more human-like interaction.
As opposed to replacing human interaction, the primary goal of this profession is to increase the ability of artificial intelligence to effectively engage with societies. This role typically does not involve direct customer interaction, but rather concentrates on supporting the AI system.
Potential domains where an AI trainer can contribute include customer service, AI development and quality assurance teams.
AI Ethicist / Ethics Expert
The AI ethicist plays an important role in ensuring the safe and ethical application of artificial intelligence. The focus is on minimizing bias and improving fairness in algorithmic systems, which is increasingly imperative with the widespread adoption of the technology.
The AI ethicist’s responsibilities are overseeing the responsible and ethical use of generative artificial intelligence.
As AI applications increase, so does the imperative for accuracy and fairness. The role of the AI auditor is to ensure that the results of the AI are not only intriguing and useful, but also accurate.
An AI auditor’s responsibilities include identifying and mitigating biases in AI systems, a duty that is gradually being developed by legislation.
Through collaboration with data science, legal compliance, and AI development teams, the goal is to ensure that the highest ethical standards are maintained and applied by AI auditors.
Artificial intelligence is much more than big language models. In addition to people, machines will also have to change their work, that is, they will have to “learn” to receive generated AI instructions. Machine managers will need to monitor hardware and systems managed by AI.