Shownotes Transcript
In today's episode, the DAS crew discussed the topic of "bad AI" - how to spot it and avoid it.
Key Points Discussed
Examples of bad AI use cases: deepfakes, autonomous weapons, bias/discrimination in AI, AI-enhanced cyberattacks, surveillance/privacy violations.
Debate over whether some "bad" use cases could be justified from certain perspectives - e.g. using autonomous drones in war.
Need for businesses to be cautious with productivity monitoring and surveillance of employees using AI - can add stress and negatively impact workplace culture.
Concerns over use of AI in recruitment processes - applicant-screening AIs could be gamed by other AIs used by applicants.
Dangers of using AI without human oversight in high-risk, high-impact areas where failures could be catastrophic.
Issues around AI hallucination and false information. Need for human verification of AI-generated outputs.
AI-enabled identity theft via cloned voices/videos is an emerging threat.
Generational shifts may change perceptions of what's real - younger gens growing up with AI may be more discerning.
Key Takeaways
Avoid using AI without human oversight in high-risk situations.
Be cautious about workplace monitoring AI - consider ethics and employee perceptions.
Verify AI outputs, use human experts to spot inaccuracies.
Educate yourself and others on AI capabilities to enhance critical thinking.
Implement AI thoughtfully after considering benefits/risks and communicating with stakeholders.