Last week, we discussed AI's incredible evolution in terms of its performance against humans. Almost across the board, AI has surpassed humans in a range of performance-based tasks, necessitating the development of new, more challenging benchmarks. Arguably, that degree of development could be classed as a 'good.' This follow-up article discusses the not-so-good that has resulted from AI's rapid evolution.
Written by an interdisciplinary team of academic and industrial experts, the 500-page report provides an independent, unbiased look at the health of AI. We've already spoken about the 'good' – now it's time to tackle the bad and the ugly.
With AI now integrated into many facets of our lives, it must be responsible for its contribution, especially to important sectors like education, healthcare, and finance. Yes, the addition of AI can provide advantages – optimizing processes and productivity, discovering new drugs, for example – but it also carries risks.
What is responsible AI and how's it measured?
According to the new AI Index report, truly responsible AI models must meet public expectations in key areas: data privacy, data governance, security and safety, fairness, and transparency and explainability.
The dangers of ethical misuse
Ethical misuses of AI include things like autonomous cars killing pedestrians or facial recognition software leading to wrongful arrests. Yep, these sorts of harms can and do happen, and they’re tracked by the AI Incident Database (AIID) and the AIAAIC (AI, Algorithmic, and Automation Incidents and Controversies).
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