AI老板开除人类、超人机器人跳高2米：2026年AI治理的冷思考

def audit_hr_decision(
    decision_data: dict,
    protected_attributes: list = ["gender", "age", "ethnicity"]
) -> dict:
    # 审计AI人事决策的公平性
    audit_result = {
        "decision_id": decision_data["id"],
        "biases_detected": [],
        "risk_level": "low"
    }

    # 检查是否使用了受保护属性
    for attr in protected_attributes:
        if attr in decision_data.get("features_used", []):
            audit_result["biases_detected"].append(
                f"使用了受保护属性: {attr}"
            )
            audit_result["risk_level"] = "high"

    # 检查决策的透明度
    if not decision_data.get("explanation"):
        audit_result["biases_detected"].append(
            "决策缺乏可解释性，无法追溯理由"
        )

    # 检查人工复核机制
    if not decision_data.get("human_review"):
        audit_result["biases_detected"].append(
            "缺少人工复核环节，决策直接执行"
        )
        audit_result["risk_level"] = "critical"

    return audit_result

# 模拟审计一个有问题的AI人事决策
sample_decision = {
    "id": "HR-2026-0817-001",
    "features_used": ["performance_score", "attendance",
                      "age", "salary"],
    "explanation": None,
    "human_review": False
}

result = audit_hr_decision(sample_decision)
print(f"风险级别: {result['risk_level']}")
print(f"检测到的问题: {result['biases_detected']}")

class RobotCapabilityBenchmark:
    # 人形机器人能力基准对比
    benchmarks = {
        "运动能力": {
            "人类平均": {"跳高_m": 0.5, "速度_ms": 7.5},
            "人类精英": {"跳高_m": 1.0, "速度_ms": 10.4},
            "人类极限": {"跳高_m": 2.45, "速度_ms": 12.4},
            "宇树超人": {"跳高_m": 2.0, "速度_ms": 12.66},
        },
        "研发周期": {
            "传统工业机器人": "2-3年",
            "宇树超人": "约3个月",
            "加速倍数": "8-12倍",
        }
    }

    @classmethod
    def assess(cls, robot_name):
        motors = cls.benchmarks["运动能力"]
        robot = motors.get(robot_name, {})
        human_limit = motors["人类极限"]
        surpassed = []
        for metric, value in robot.items():
            if isinstance(value, (int, float)) and value > human_limit.get(metric, 0):
                surpassed.append(f"{metric}({value} > 人类极限{human_limit[metric]})")
        return surpassed

surpassed = RobotCapabilityBenchmark.assess("宇树超人")
print(f"宇树超人超越人类极限的维度: {surpassed}")