AI Regulation: Can AI Wipe Out Humanity?

Many view AI as a recent phenomenon. But the truth is, AI has always existed. Its path has been marked by a vicious cycle of stagnation and growth. However, recently, many countries saw a sudden enthusiasm to regulate AI. What could be the contributing factors behind this decision? When traditional AI got a makeover and reappeared as generative AI, concerns about privacy, copyright infringements, and other issues started popping up. The rapid advancement of AI and its integration into businesses added fuel to the existing fear among policymakers to intensify the laws and regulations surrounding AI.

The age-old fear of AI robots turning hostile and destroying humanity, as depicted in dystopian sci-fi movies, has finally caught up, prompting lawmakers to strike a balance between innovation and public safety. The technology industry as a whole does not seem to have a consensus or a unanimous policy on its approach towards regulating AI. The system is fragmented, with countries having rules and regulations that vary.

With the release of advanced AI models like ChatGPT, generative AIs, and more, the concerns surrounding AI have emerged. From facilitating cyberattacks to the misuse of data, creation of harmful weapons, manipulating human beings, and outsmarting them, to finally destroying the human race, the list goes on. Deepfake videos of famous leaders and public figures have raised alarming concerns about the potential of AI to spread false information that looks astoundingly realistic.

Effective policies at both the state and national levels should be made to protect individual rights. As AI gains momentum, governments should work hard to balance innovation along with the responsible usage and deployment of AI, ensuring security, public trust, and transparency. AI models will have to undergo strict measures like transparency audits in order to get approved. To prevent malpractices, AI models that are harmful and biased should be imposed with high penalties by the regulatory bodies. As AI continues to evolve, the best way forward is to have a cohesive structure and international collaboration to prevent fragmentation and ensure consistency.