Bias in AI - a Special Edition
AI is likely to become the most transformative technology of the 21st century, and with every passing year a seemingly quantum leap in AI’s capabilities is achieved. AI has proven to be disruptive in industries as varied as marketing, health, automotive, finance, education, astronomy or human resources. In the backdrop of this technological revolution, several voices have raised concern at the ethical impacts of AI - the biggest fear being that AI surpasses human intelligence at some point. At this time, many have pointed out the inaccuracies of AI-based decisions, leading sometimes to biased or discriminatory outcomes.
The effect of AI on hiring in particular has been profound. Now more than ever before, businesses can tap into the power of automatic speech recognition (ASR) and natural language processing (NLP) to source potential candidates and hire for open positions in a fraction of the previously possible time.
Yet, while AI promises to revolutionize how companies conduct their hiring practices, it is important to recognize that AI systems are not implicitly fair and that the impact of hidden bias on these systems is still underappreciated. While countering bias is often framed as merely a nice-to-have, the reality is that failing to cope with undetected bias can actually lead to very negative business outcomes. Therefore, detecting and countering bias is, in fact, critical for any business which hopes to deliver the best value to its customers and profit from the use of AI technology.
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To power their cutting-edge audio and video editing solution, Descript needed a fast, accurate, reliable ASR partner. See how Rev AI provides the lightning-fast turnaround times and unparalleled accuracy at the core of Descript’s technology.
In The News
NSF and Amazon award $1M for healthcare AI integrity
The Fairness in AI program from the National Science Foundation and Amazon is meant to address challenges around bias in machine learning and speech recognition tools.
New York City AI Bias Law Charts New Territory for Employers
A novel New York City law that penalizes employers for bias in AI hiring tools is leaving companies scrambling to audit their AI programs before the law takes effect in January.
Natural language processing
AI Ethics Asking Aloud Whether LLM taking AI Down A Dead-End Path
Nearly all of the recent AI advances are portrayed as eye-catching headline-grabbing and altogether remarkable, perhaps even sensational (or, some say grumbly, sensationalized).
Busting homophobic, anti-queer bias in AI language models
Artificial intelligence large language models used for writing and text-prediction are notoriously biased, but can be fine-tuned to become more inclusive.
The computers that talk like us: How conversational AI could change lives, for better and worse
Conversational AI refers to the different types of AI software or solutions that are designed for people to talk to and communicate with.
Human Ressources
AI hiring bias: Everything you need to know
AI hiring tools can automate almost every step of the recruiting and hiring process, dramatically reducing the burden on HR teams.
How Companies Can Achieve Success with Artificial Intelligence in Hiring
As businesses adopt AI in recruiting at an increasing rate, it’s critical that they know how to leverage the technology to mitigate bias rather than worsen it.
The uses of ethical AI in hiring: Opaque vs. transparent AI
While AI is not new to the ethics conversation, increasing use of it in HR and talent management has unlocked a new level of discussion on what it actually means for AI to be ethical.
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Built on Reliable, Fast, and Accurate Transcription
To power their cutting-edge audio and video editing solution, Descript needed a fast, accurate, reliable ASR partner. See how Rev AI provides the lightning-fast turnaround times and unparalleled accuracy at the core of Descript’s technology.