The rise of AI and machine learning in IT has the following impact ¹ ²:
– Improved Business Automation: About 55% of organizations have adopted AI to varying degrees, suggesting increased automation for many businesses in the near future.
– Job Disruption: Business automation has led to fears over job losses, especially in manual jobs like secretaries. On the other hand, jobs like machine learning specialists and information security analysts are on the rise.
– Data Privacy Issues: Companies require large volumes of data to train the models that power generative AI tools, and this process has come under intense scrutiny.
– Increased Regulation: The Biden-Harris administration has maintained its moderate position with its latest executive order, creating rough guidelines around data privacy, civil liberties, responsible AI and other aspects of AI.
– Climate Change Concerns: AI could be seen as a key culprit in climate change. The energy and resources required to create and maintain AI models could raise carbon emissions by as much as 80%.
– Job Losses: Between 2023 and 2028, 44% of workers’ skills will be disrupted. Not all workers will be affected equally — women are more likely than men to be exposed to AI in their jobs.
– Human Biases: The reputation of AI has been tainted with a habit of reflecting the biases of the people who train the algorithmic models.
– Deepfakes and Misinformation: The spread of deepfakes threatens to blur the lines between fiction and reality, leading the general public to question what’s real and what isn’t.
– Superior Intelligence: Nightmare scenarios depict what’s known as the technological singularity, where superintelligent machines take over and permanently alter human existence through enslavement or eradication.
SOURCE: https://builtin.com/artificial-intelligence/artificial-intelligence-future
