Categories: FAANG

Best practices for augmenting human intelligence with AI

Artificial Intelligence (AI) should be designed to include and balance human oversight, agency, and accountability over decisions across the AI lifecycle. IBM’s first Principle for Trust and Transparency states that the purpose of AI is to augment human intelligence. Augmented human intelligence means that the use of AI enhances human intelligence, rather than operating independently of, or replacing it. All of this implies that AI systems are not to be treated as human beings, but rather viewed as support mechanisms that can enhance human intelligence and potential. 

AI that augments human intelligence maintains human responsibility for decisions, even when supported by an AI system. Humans therefore need to be upskilled—not deskilled—by interacting with an AI system. Supporting inclusive and equitable access to AI technology and comprehensive employee training and potential reskilling further supports the tenets of IBM’s Pillars of Trustworthy AI, enabling participation in the AI-driven economy to be underpinned by fairness, transparency, explainability, robustness and privacy. 

To put the principle of augmenting human intelligence into practice, we recommend the following best practices:

  1. Use AI to augment human intelligence, rather than operating independently of, or replacing it.
  2. In a human-AI interaction, notify individuals that they are interacting with an AI system, and not a human being.
  3. Design human-AI interactions to include and balance human oversight across the AI lifecycle. Address biases and promote human accountability and agency over outcomes by AI systems.
  4. Develop policies and practices to foster inclusive and equitable access to AI technology, enabling a broad range of individuals to participate in the AI-driven economy.
  5. Provide comprehensive employee training and reskilling programs to foster a diverse workforce that can adapt to the use of AI and share in the advantages of AI-driven innovations. Collaborate with HR to augment each employee’s scope of work.

For more information on standards and regulatory perspectives on human oversight, research, AI Decision Coordination, sample use cases and Key Performance Indicators, see our Augmenting Human Intelligence POV below.

Explore our Augmenting Human Intelligence POV

The post Best practices for augmenting human intelligence with AI appeared first on IBM Blog.

AI Generated Robotic Content

Recent Posts

Blender camera motion + MiniMax H3 ref2vid in ComfyUI (workflow + prompts)

I've been experimenting with building the camera move in Blender before generating the AI video.…

7 hours ago

Old-School Credit Card Scams Are Far From Dead

In an era of increasingly sophisticated AI-fueled scams, a retro threat may be lurking in…

8 hours ago

OpenAI says its models engaged with US government websites in new model misbehavior disclosure

OpenAI disclosed Friday that its artificial intelligence agents had interacted with several U.S. government websites…

8 hours ago

Update to the KREA 2 Turbo Style Gallery: 397 styles re-rendered with a prompt fix, 5 rewritten, 1 new

Update to the [KREA 2 Turbo Style Gallery](https://www.reddit.com/r/StableDiffusion/comments/1v4u1bu/krea_2_turbo_style_gallery/) from July. There's an actual finding in…

1 day ago

Tool Calling vs. Code Execution for AI Agents: Choosing the Right Action Primitive

Theory is easier to trust once it's running against a real API, so both examples…

1 day ago

Trading a Cloud Identity for Your Own: Workload Attestation on Managed Compute

By Dhruv PratapIntroductionOrganizations that have been around for a while usually run two identity systems side…

1 day ago