Ai is being touted as a game changing infrastructural innovation of this decade similar to Computers, Internet, Mobile phones and Satellites that revolutionised the world. Every infrastructural innovation has brought immense benefits to the mankind and today we can’t live without anyone of them.
Ai understandably is positioned as the most powerful infrastructure till this date and has engulfed the technology world like a hurricane that leaves a devastating impact on social and workplace lives. There is not a single industry that will not bear the brunt of Ai and its immense influence.
On the flip side, there are arguments being put forth of how Ai has its consequential or cascading effects.
IBM reports have accentuated the disadvantages of Ai deployment in large scale that may cast a doubt on decision making based on its algorithmic bias.
“Arguments against AI deployment primarily revolve around risks of algorithmic bias, profound data privacy vulnerabilities, high failure rates due to disorganized infrastructure, and the socioeconomic impacts of job displacement. Critics also highlight systemic lack of transparency in how decisions are made, environmental resource drain, and over-reliance on unproven technology.”
“As business leaders look to leverage AI technologies in their operations to drive efficiencies and innovation, they often struggle to understand their unique risk profile and the steps needed to manage AI risk effectively. The rapid adoption of Ai system across industries has created unprecedented opportunities, but it has also introduced complex challenges that require comprehensive AI risk management strategies.”
“AI risks can manifest at any stage of the AI lifecycle, from initial data collection through AI deployment and ongoing operations.”
GoogleAi explains the differences between Generative Ai and Traditional Ai:
“Generative AI introduces unpredictable outputs, complex copyright liabilities, and extreme resource consumption. Traditional AI programming primarily struggles with rigid data constraints, high manual engineering costs, and a lack of adaptability.”
It is really fascinating to learn more about Ai and at the same time understand the flip side and risks associated with it. It is surely an evolving technology with unlimited potential that needs to be harnessed well with good controls around it.
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